[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"_public_publisher_byId_16476028-4d39-42af-8568-e0dcb27e3fe6":3,"_public_publication_all{\"sortAscending\":false,\"sortField\":\"updateTime\",\"page\":0,\"size\":10,\"facet\":true,\"searchKey\":\"publisherId:16476028-4d39-42af-8568-e0dcb27e3fe6,\"}":19},{"code":4,"data":5,"meta":9},"SUCCESS",{"id":6,"createTime":7,"updateTime":7,"relativeEntities":8,"slug":9,"properties":10,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":16,"manageAffiliations":17,"indexDatabases":18,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},"16476028-4d39-42af-8568-e0dcb27e3fe6","2023-12-21T00:37:50.899+00:00",[],null,{"title":11},{"EN":12},"IEEE International Geoscience and Remote Sensing Symposium","PUBLISHER","PENDING",0,[],[],[],{"meta":20,"data":22},{"total":21},"1037",[23,159,214,280,348,429,510,561,671,834],{"id":24,"createTime":25,"updateTime":26,"relativeEntities":27,"slug":28,"properties":29,"entityType":42,"verifyStatus":14,"verifyTime":43,"verifyNote":44,"languages":9,"translateLanguages":45,"viewCount":15,"primaryUrl":47,"fullTextUrl":48,"authors":49,"publicationType":143,"publisherRelationship":144,"citationCount":9,"citationInfo":9,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":14,"lastCitationAnalyze":9,"indexDatabases":157,"openAccess":9,"references":9,"isForceReanalyzing":158},"1c641fd0-8d57-46d8-ad78-b63e8c505d6b","2023-12-21T01:49:46.106+00:00","2026-09-11T08:14:07.324+00:00",[],"Impact-of-vector-quantization-compression-on-hyperspectral-data-in-the-retrieval-accuracies-of-crop-chlorophyll-content-for-precision-agriculture",{"abstract":30,"title":32,"keywords":35,"references":38,"doi":40},{"EN":31},"In this study, impacts of vector quantization compression on prediction of leaf chlorophyll content of crops for the application to precision agriculture were evaluated. The compression algorithm tested in this paper is called successive approximation multi-stage vector quantization (SAMVQ). The hyperspectral data used were acquired by CASI over corn fields at L' Acadie experimental farm (Agriculture and Agri-Food Canada) during the summer of 2000. Nine zones in the corn fields with different fertilization levels (no fertilization, intermediate fertilization, and over-fertilization) were used to evaluate the difference between the leaf chlorophyll contents obtained from original and reconstructed reflectance data cubes. The root mean square errors (RMSEs) and the correlations between the chlorophyll content derived from the original data cube and that derived from the reconstructed data cubes were calculated in the nine zones. The spatial variability of chlorophyll content in the nine zones was also examined for the images of chlorophyll content created from the original and reconstructed reflectance data cubes. The results show that the chlorophyll content image created from the reconstructed reflectance data cube corresponding to SAMVQ with a compression ratio of 20 maintains good agreement with that derived from the original reflectance data cube in the nine zones in terms of estimated pigment mean and spatial variability. As a result, SAMVQ with a compression ratio of 20 is considered acceptable for the retrieval of crop chlorophyll content from CASI hyperspectral data for agriculture corn crops.",{"EN":33,"VI":34},"Impact of vector quantization compression on hyperspectral data in the retrieval accuracies of crop chlorophyll content for precision agriculture","Tác động của nén lượng tử hóa vector trên dữ liệu siêu phổ đến độ chính xác ước tính hàm lượng diệp lục ở cây trồng phục vụ nông nghiệp chính xác",{"EN":36,"VI":37},"Vector quantization,Hyperspectral imaging,Information retrieval,Content based retrieval,Crops,Agriculture,Image reconstruction,Reflectivity,Image coding,Compression algorithms","lượng tử hóa vector, chụp ảnh siêu phổ, truy xuất thông tin, truy xuất theo nội dung, cây trồng, nông nghiệp, tái tạo ảnh, độ phản xạ, mã hóa ảnh, thuật toán nén",{"VOID":39},"qian, 0, Quantitative evaluation of hyperspectral data compressed by near lossless onboard compression techniques, IEEE Int Geoscience and Remote Sensing Symp\n10.1142\u002F9789812815705_0022\n10.1016\u002FS0034-4257(02)00018-4\nhaboudane, 0, Heterogeneity of CASI-estimated leaf chlorophyll in com: assessment and comparison with ground truth from L’ Acadie GEOIDE experimental site, Proc 23rd Can Symp Remote Sensing\n10.1080\u002F07038992.1997.10855196\n10.1117\u002F1.601062\n10.1109\u002FMASSP.1984.1162229",{"VOID":41},"10.1109\u002FIGARSS.2002.1026211","PUBLICATION","2025-02-14T02:32:54.033+00:00","Author affiliation is blank",[46],"VI","https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1026211\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1026211",[50,76,89,105,113,127],{"id":51,"sortIndex":15,"researcher":9,"roles":52,"affiliations":54,"properties":73,"displayName":75,"givenName":9,"familyName":9},"4cab3724-8a0d-498b-accd-509b1f9ad6c1",[53],"AUTHOR",[55,63],{"id":56,"sortIndex":15,"affiliation":57,"properties":9},"5790377b-fd3b-4f29-81ad-e8f75e6d21c6",{"id":56,"createTime":9,"updateTime":9,"relativeEntities":58,"slug":9,"properties":59,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":62,"statistic":9},[],{"title":60},{"VI":61},"Canadian Space Agency, QUE, Canada",[],{"id":64,"sortIndex":65,"affiliation":66,"properties":72},"1fdd8faf-57b6-4445-aa9f-a8980a09824d",1,{"id":64,"createTime":9,"updateTime":9,"relativeEntities":67,"slug":9,"properties":68,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":71,"statistic":9},[],{"title":69},{"VI":70},"Department of Physics and Astronomy, York University, Toronto, ONT, Canada",[],{},{"title":74},{"VI":75},"Baoxin Hu",{"id":77,"sortIndex":65,"researcher":9,"roles":78,"affiliations":79,"properties":86,"displayName":88,"givenName":9,"familyName":9},"1ff9349f-a577-4d3e-8089-f6d07758a849",[53],[80],{"id":56,"sortIndex":15,"affiliation":81,"properties":9},{"id":56,"createTime":9,"updateTime":9,"relativeEntities":82,"slug":9,"properties":83,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":85,"statistic":9},[],{"title":84},{"VI":61},[],{"title":87},{"VI":88},"Shen-en Qian",{"id":90,"sortIndex":91,"researcher":9,"roles":92,"affiliations":93,"properties":102,"displayName":104,"givenName":9,"familyName":9},"b669610e-1ae0-48ad-bf7b-8d5142e4faf2",2,[53],[94],{"id":95,"sortIndex":15,"affiliation":96,"properties":9},"46800eed-45f3-4461-b73a-3042b85afc9c",{"id":95,"createTime":9,"updateTime":9,"relativeEntities":97,"slug":9,"properties":98,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":101,"statistic":9},[],{"title":99},{"VI":100},"Center for Research in Earth and Space Science, York University, Toronto, ONT, Canada",[],{"title":103},{"VI":104},"D. Haboudane",{"id":106,"sortIndex":107,"researcher":9,"roles":108,"affiliations":109,"properties":110,"displayName":112,"givenName":9,"familyName":9},"99b92129-f868-407d-b118-578caf8087e4",3,[53],[],{"title":111},{"VI":112},"J.R. Miller",{"id":114,"sortIndex":115,"researcher":9,"roles":116,"affiliations":117,"properties":124,"displayName":126,"givenName":9,"familyName":9},"ccfcabe5-3c65-4253-b688-6520bb49ac19",4,[53],[118],{"id":56,"sortIndex":15,"affiliation":119,"properties":9},{"id":56,"createTime":9,"updateTime":9,"relativeEntities":120,"slug":9,"properties":121,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":123,"statistic":9},[],{"title":122},{"VI":61},[],{"title":125},{"VI":126},"A. Hollinger",{"id":128,"sortIndex":129,"researcher":9,"roles":130,"affiliations":131,"properties":140,"displayName":142,"givenName":9,"familyName":9},"e2427dd4-b342-4371-91e7-c393d623c5e0",5,[53],[132],{"id":133,"sortIndex":15,"affiliation":134,"properties":9},"78cbb454-03de-4b81-9eab-5bf864056bea",{"id":133,"createTime":9,"updateTime":9,"relativeEntities":135,"slug":9,"properties":136,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":139,"statistic":9},[],{"title":137},{"VI":138},"Agriculture and Agi-Food Canada Research Branch, Horticulture Research and Development Center, Saint Jean sur Richelieu, QUE, Canada",[],{"title":141},{"VI":142},"N. Tremblay","ARTICLE",{"url":47,"publisher":145,"properties":152},{"id":6,"createTime":7,"updateTime":7,"relativeEntities":146,"slug":9,"properties":147,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":149,"manageAffiliations":150,"indexDatabases":151,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},[],{"title":148},{"EN":12},[],[],[],{"pages":153,"volume":155},{"VOID":154},"1655-1657 vol.3",{"VOID":156},"3",[],false,{"id":160,"createTime":161,"updateTime":162,"relativeEntities":163,"slug":164,"properties":165,"entityType":42,"verifyStatus":178,"verifyTime":179,"verifyNote":180,"languages":9,"translateLanguages":181,"viewCount":15,"primaryUrl":182,"fullTextUrl":183,"authors":184,"publicationType":143,"publisherRelationship":200,"citationCount":9,"citationInfo":9,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":14,"lastCitationAnalyze":9,"indexDatabases":213,"openAccess":9,"references":9,"isForceReanalyzing":158},"63159606-05ca-45d9-86e6-dab86909a074","2023-12-20T22:56:25.350+00:00","2026-09-11T05:10:06.987+00:00",[],"Possibilities-and-limitations-of-the-use-of-wavelets-in-image-fusion",{"abstract":166,"title":168,"keywords":171,"references":174,"doi":176},{"EN":167},"The paper reviews some of the most efficient wavelet approaches to image fusion for remote sensing applications and indicates open issues and future trends of this remarkable research. For the particular topic of spatial enhancement in multi-resolution image fusion, quality assessment of the fused image is considered. An objective analysis is described, based on both global and local score indexes. The problem of reducing possible visual artifacts is also discussed.",{"EN":169,"VI":170},"Possibilities and limitations of the use of wavelets in image fusion","Khả năng và hạn chế của việc sử dụng wavelet trong hợp nhất ảnh",{"EN":172,"VI":173},"Image fusion,Remote sensing,Multiresolution analysis,Spatial resolution,Satellites,Discrete wavelet transforms,Wavelet analysis,Wavelet domain,Image registration,Image resolution","hợp nhất ảnh, viễn thám, phân tích đa độ phân giải, độ phân giải không gian, vệ tinh, biến đổi wavelet rời rạc, phân tích wavelet, miền wavelet, đăng ký ảnh, độ phân giải hình ảnh",{"VOID":175},"10.1109\u002F36.481897\n10.1109\u002FIGARSS.2001.976663\n10.1109\u002FIGARSS.1999.773404\n10.1109\u002FICECS.2000.911575\n10.1109\u002F34.192463\n10.1109\u002F42.875199\nranchin, 2000, Fusion of high spatial images: the ARSIS concept and its implementation, Photogrammetric Engineering & Remote Sensing, 66, 49\ndjamdji, 1993, Geometrical registration of images: The multiresolution approach, Photogrammetric Eng and Remote Sensing, 59, 645\n10.1109\u002F36.763274\nyocky, 1996, Multiresolution wavelet decomposition image merger of Landsat Thematic Mapper and SPOT panchromatic data, Photogr Eng & Remote Sensing, 62, 1067\n10.1109\u002FIGARSS.2001.976658\n10.1080\u002F014311698214758\n10.1109\u002FIGARSS.2001.976609\n10.1109\u002F34.799911\n10.1109\u002F36.298006",{"VOID":177},"10.1109\u002FIGARSS.2002.1024943","VERIFIED","2024-12-11T15:00:18.526+00:00","Auto Verify",[46],"https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1024943\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1024943",[185],{"id":186,"sortIndex":15,"researcher":9,"roles":187,"affiliations":188,"properties":197,"displayName":199,"givenName":9,"familyName":9},"3206fe36-5afa-441b-a6b7-d7da1d01dd62",[53],[189],{"id":190,"sortIndex":15,"affiliation":191,"properties":9},"7c429738-a687-4558-af98-962ce1ca951d",{"id":190,"createTime":9,"updateTime":9,"relativeEntities":192,"slug":9,"properties":193,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":196,"statistic":9},[],{"title":194},{"VI":195},"Department of Information Engineering DII, University of Sienna, Siena, Italy",[],{"title":198},{"VI":199},"A. Garzelli",{"url":182,"publisher":201,"properties":208},{"id":6,"createTime":7,"updateTime":7,"relativeEntities":202,"slug":9,"properties":203,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":205,"manageAffiliations":206,"indexDatabases":207,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},[],{"title":204},{"EN":12},[],[],[],{"pages":209,"volume":211},{"VOID":210},"66-68 vol.1",{"VOID":212},"1",[],{"id":215,"createTime":216,"updateTime":217,"relativeEntities":218,"slug":219,"properties":220,"entityType":42,"verifyStatus":178,"verifyTime":233,"verifyNote":180,"languages":9,"translateLanguages":234,"viewCount":15,"primaryUrl":235,"fullTextUrl":236,"authors":237,"publicationType":143,"publisherRelationship":266,"citationCount":9,"citationInfo":9,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":14,"lastCitationAnalyze":9,"indexDatabases":279,"openAccess":9,"references":9,"isForceReanalyzing":158},"904709ec-3d59-4d13-9e5c-ef997e017daf","2023-12-21T02:40:33.948+00:00","2026-09-10T10:15:23.712+00:00",[],"Comparison-of-InSAR-capability-for-land-subsidence-detection-between-C-band-and-L-band-SAR",{"abstract":221,"title":223,"keywords":226,"references":229,"doi":231},{"EN":222},"Investigates the capability of interferometric SAR (InSAR) using C-band (ERS) and L-band (JERS-1) SAR data for land subsidence detection in urban and rural areas. The Kanto Plains and the Saga Plains were selected as the test site. In the Kanto Plains, several continuous land subsidence areas are found both in urban and rural areas, while in the Saga Plains, they are located only in rural areas. We used several data pairs with different time intervals from two to five years from ERS and JERS-1 SAR data, in which observation periods nearly correspond with each other. The land deformation patterns were compared with each other in the data pairs of corresponding observation periods. In the Kanto Plains, the subsidence amounts in urban areas detected by JERS-1 were smaller than those detected by ERS, which might be due to the difference of minimum detectable subsidence. However, JERS-1 could detect major subsidence areas in rural areas, while ERS could hardly detect them. In the Saga Plains, ERS could not detect any subsidence in rural areas, while JERS-1 succeeded in detecting a significant one even by using the data pair with a five-year interval. These results verify that L-band InSAR will be a practical tool for land subsidence monitoring of the Japanese Islands, especially by using ALOS\u002FPALSAR to be launched by Japan in 2004.",{"EN":224,"VI":225},"Comparison of InSAR capability for land subsidence detection between C-band and L-band SAR","So sánh khả năng phát hiện lún đất của InSAR giữa SAR băng C và băng L",{"EN":227,"VI":228},"Synthetic aperture radar interferometry,L-band,Testing,Urban areas,Satellites,Remote sensing,Monitoring,Decorrelation","Giao thoa radar khẩu độ tổng hợp, Băng L, Thử nghiệm, Khu vực đô thị, Vệ tinh, Viễn thám, Giám sát, Mất tương quan",{"VOID":230},"10.1109\u002FIGARSS.2000.857265\nyonezawa, 2000, Experimental study on detection crustal deformation using C-band SAR interferometry in the Japanese Islands (in Japanese with English abstract), J Geodetic Soc Japan, 46, 109",{"VOID":232},"10.1109\u002FIGARSS.2002.1026550","2025-01-19T18:54:11.091+00:00",[46],"https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1026550\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1026550",[238,253],{"id":239,"sortIndex":15,"researcher":9,"roles":240,"affiliations":241,"properties":250,"displayName":252,"givenName":9,"familyName":9},"40a5ab52-b152-43a1-aa5e-a4fb5f0053b9",[53],[242],{"id":243,"sortIndex":15,"affiliation":244,"properties":9},"c41812c1-5fe7-4ec8-9d5f-d0caa23a907a",{"id":243,"createTime":9,"updateTime":9,"relativeEntities":245,"slug":9,"properties":246,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":249,"statistic":9},[],{"title":247},{"VI":248},"Hiroshima Institute of Technology, Hiroshima, JAPAN",[],{"title":251},{"VI":252},"S. Takeuchi",{"id":254,"sortIndex":65,"researcher":9,"roles":255,"affiliations":256,"properties":263,"displayName":265,"givenName":9,"familyName":9},"e76905f7-076a-4689-be1c-3f850ab6cb36",[53],[257],{"id":243,"sortIndex":15,"affiliation":258,"properties":9},{"id":243,"createTime":9,"updateTime":9,"relativeEntities":259,"slug":9,"properties":260,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":262,"statistic":9},[],{"title":261},{"VI":248},[],{"title":264},{"VI":265},"S. Yamada",{"url":235,"publisher":267,"properties":274},{"id":6,"createTime":7,"updateTime":7,"relativeEntities":268,"slug":9,"properties":269,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":271,"manageAffiliations":272,"indexDatabases":273,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},[],{"title":270},{"EN":12},[],[],[],{"pages":275,"volume":277},{"VOID":276},"2379-2381 vol.4",{"VOID":278},"4",[],{"id":281,"createTime":282,"updateTime":283,"relativeEntities":284,"slug":285,"properties":286,"entityType":42,"verifyStatus":178,"verifyTime":299,"verifyNote":180,"languages":9,"translateLanguages":300,"viewCount":15,"primaryUrl":301,"fullTextUrl":302,"authors":303,"publicationType":143,"publisherRelationship":334,"citationCount":9,"citationInfo":9,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":14,"lastCitationAnalyze":9,"indexDatabases":347,"openAccess":9,"references":9,"isForceReanalyzing":158},"d6febb57-a8ed-4144-8bb6-0683d797adec","2023-12-21T01:13:27.104+00:00","2026-09-10T06:13:09.744+00:00",[],"Improved-method-for-the-estimation-of-the-ionospheric-irregularities-by-site-dependent-total-electron-content-TEC-amplitude-fluctuation-index",{"abstract":287,"title":289,"keywords":292,"references":295,"doi":297},{"EN":288},"The scintillation effects are known to degrade the tracking performance of a GPS receiver. Possible Doppler shift observed on the GPS signal due to rapid phase variations could extend the bandwidth exceedingly, forcing the phase locked loop to its tracking limits, and the lost of signal can be observed especially at the frequency L2. For this, accurate estimation of the ionospheric irregularities is often not possible since ionosphere is usually assumed to be locally isotropic. In this study, short time (15 min.) amplitude fluctuation index (f\u002Fsub a\u002F) that is function of time, orbit number and satellite number, and hourly amplitude fluctuation index (F\u002Fsub a\u002F) that function of hour and orbit number only, are defined. f\u002Fsub a\u002F can be calculated at any point on the surface of the Earth for each 15 minute long time section using only one satellite, and F\u002Fsub a\u002F can be calculated hourly and using satellites in the vicinity of the receiver. It is shown that utilizing the amplitude fluctuation indices f\u002Fsub a\u002F and F\u002Fsub a\u002F, oblique examination of the index is possible, without assuming a perfect vertical path. Finally, the variations on the total electron content corresponding to different cases are discussed on numerical results.",{"EN":290,"VI":291},"Improved method for the estimation of the ionospheric irregularities by site dependent total electron content (TEC) amplitude fluctuation index","Phương pháp cải tiến để ước tính các bất thường tầng điện ly bằng chỉ số biến thiên biên độ hàm lượng electron tổng cộng (TEC) phụ thuộc trạm đo",{"EN":293,"VI":294},"Amplitude estimation,Electrons,Fluctuations,Satellites,Global Positioning System,Frequency estimation,Orbital calculations,Degradation,Doppler shift,Bandwidth","ước tính biên độ, electron, dao động, vệ tinh, hệ thống định vị toàn cầu, ước tính tần số, tính toán quỹ đạo, sự suy giảm, dịch chuyển doppler, băng thông",{"VOID":296},"10.1016\u002FS0273-1177(99)01039-X\n10.1029\u002F1999RS002208\n10.1016\u002FS1464-1895(01)00110-7\n10.1016\u002FS1464-1917(01)00056-3\n10.1016\u002FS1364-6826(98)00131-X",{"VOID":298},"10.1109\u002FIGARSS.2002.1025917","2024-12-19T18:43:08.201+00:00",[46],"https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1025917\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1025917",[304,319],{"id":305,"sortIndex":15,"researcher":9,"roles":306,"affiliations":307,"properties":316,"displayName":318,"givenName":9,"familyName":9},"8e0c371b-0bd4-4796-ae97-6d48968cad3b",[53],[308],{"id":309,"sortIndex":15,"affiliation":310,"properties":9},"832c93a3-6b98-4ffa-91f1-5b8e46d78f3d",{"id":309,"createTime":9,"updateTime":9,"relativeEntities":311,"slug":9,"properties":312,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":315,"statistic":9},[],{"title":313},{"VI":314},"Department of Biomedical Engineering, Baskent University, Ankara, Turkey",[],{"title":317},{"VI":318},"C.B. Erol",{"id":320,"sortIndex":65,"researcher":9,"roles":321,"affiliations":322,"properties":331,"displayName":333,"givenName":9,"familyName":9},"c2f43891-b596-4ef4-a05d-780e2b9c485d",[53],[323],{"id":324,"sortIndex":15,"affiliation":325,"properties":9},"25ad89b3-63f3-4dc7-9b5c-d0c7bca881bf",{"id":324,"createTime":9,"updateTime":9,"relativeEntities":326,"slug":9,"properties":327,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":330,"statistic":9},[],{"title":328},{"VI":329},"Research and Technology Council of Turkey, Ankara, Turkey",[],{"title":332},{"VI":333},"S.G. Tanyer",{"url":301,"publisher":335,"properties":342},{"id":6,"createTime":7,"updateTime":7,"relativeEntities":336,"slug":9,"properties":337,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":339,"manageAffiliations":340,"indexDatabases":341,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},[],{"title":338},{"EN":12},[],[],[],{"pages":343,"volume":345},{"VOID":344},"1290-1292 vol.2",{"VOID":346},"2",[],{"id":349,"createTime":350,"updateTime":351,"relativeEntities":352,"slug":353,"properties":354,"entityType":42,"verifyStatus":178,"verifyTime":367,"verifyNote":180,"languages":9,"translateLanguages":368,"viewCount":15,"primaryUrl":369,"fullTextUrl":370,"authors":371,"publicationType":143,"publisherRelationship":415,"citationCount":9,"citationInfo":9,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":14,"lastCitationAnalyze":9,"indexDatabases":428,"openAccess":9,"references":9,"isForceReanalyzing":158},"8563114d-3ac3-4245-90c4-baaf130e82ae","2023-12-21T03:50:01.750+00:00","2026-09-10T04:11:53.811+00:00",[],"Constrained-weighted-least-squares-approaches-for-target-detection-and-classification-in-hyperspectral-imagery",{"abstract":355,"title":357,"keywords":360,"references":363,"doi":365},{"EN":356},"Least squares unmixing methods are widely used to solve linear mixture problems for endmember abundance estimation in hyperspectral imagery. In this paper, a weighted least squares method is introduced as a generalization. When different weight matrix is used, a certain detector or classifier will be resulted. For accurate abundance fraction estimation, a constrained weighted least squares approach is developed by combining sum-to-one and nonnegativity constraints. The experimental results show that when a meaningful weight matrix is applied as a data pre-processing operator, the weighted least squares method will outperform ordinary least squares solution and the constrained methods will outperform unconstrained ones.",{"EN":358,"VI":359},"Constrained weighted least squares approaches for target detection and classification in hyperspectral imagery","Các phương pháp bình phương tối thiểu có trọng số ràng buộc cho phát hiện và phân loại mục tiêu trong ảnh siêu phổ",{"EN":361,"VI":362},"Least squares methods,Object detection,Least squares approximation,Hyperspectral sensors,Hyperspectral imaging,Covariance matrix,Detectors,Pixel,Vectors,Filters","các phương pháp bình phương tối thiểu, phát hiện đối tượng, xấp xỉ bình phương tối thiểu, cảm biến siêu phổ, chụp ảnh siêu phổ, ma trận hiệp phương sai, đầu dò, điểm ảnh, vector, bộ lọc",{"VOID":364},"10.1109\u002F36.673697\nschowengerdt, 1997, Remote Sensing Models and Methods for Image Processing, 470\nshimabukuro, 1991, he least-squares mixing models to generate fraction images derived from remote sensing multispectral data, IEEE TGRS, 16\ndu, 2002, Performance analysis for CEM and OSP, Proc SPIE s 16th Aerosense Symp, 10.1117\u002F12.478783\nren, 1999, A Constrained Least Squares Approach to Linear Unmixing for Hyperspectral Image Classification, Proc 1999 CISS, 551\n10.1109\u002F36.298007\n10.1117\u002F1.1327499\nbowles, 1995, Uses of filter vectors in hyperspectral data analysis, Proc SPIE, 2553, 148, 10.1117\u002F12.221352\nscharf, 1991, Statistical Signal Processing\n10.1016\u002FS0031-3203(99)00215-0\nduda, 1973, Pattern Classification and Scene Analysis",{"VOID":366},"10.1109\u002FIGARSS.2002.1027204","2024-12-27T23:04:30.327+00:00",[46],"https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1027204\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1027204",[372,387,402],{"id":373,"sortIndex":15,"researcher":9,"roles":374,"affiliations":375,"properties":384,"displayName":386,"givenName":9,"familyName":9},"f56d16ee-c4a3-4be8-bcf6-cd991908aa94",[53],[376],{"id":377,"sortIndex":15,"affiliation":378,"properties":9},"c848cf4d-3af2-4ab8-8fb8-3d11be7a49a3",{"id":377,"createTime":9,"updateTime":9,"relativeEntities":379,"slug":9,"properties":380,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":383,"statistic":9},[],{"title":381},{"VI":382},"Edgewood Chemical and Biological Center, US Army, MD, USA",[],{"title":385},{"VI":386},"Hsuan Ren",{"id":388,"sortIndex":65,"researcher":9,"roles":389,"affiliations":390,"properties":399,"displayName":401,"givenName":9,"familyName":9},"7baafe82-ba80-48af-a0f7-717441055635",[53],[391],{"id":392,"sortIndex":15,"affiliation":393,"properties":9},"e4fbf783-30f3-4f35-acc1-22ab5540d1be",{"id":392,"createTime":9,"updateTime":9,"relativeEntities":394,"slug":9,"properties":395,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":398,"statistic":9},[],{"title":396},{"VI":397},"Department of Electrical Engineering and Computer Science, Texas A and M University, Kingsville, TX, USA",[],{"title":400},{"VI":401},"Qian Du",{"id":403,"sortIndex":91,"researcher":9,"roles":404,"affiliations":405,"properties":412,"displayName":414,"givenName":9,"familyName":9},"29b0e83b-cfe2-425b-98d1-30e80e82a4cb",[53],[406],{"id":377,"sortIndex":15,"affiliation":407,"properties":9},{"id":377,"createTime":9,"updateTime":9,"relativeEntities":408,"slug":9,"properties":409,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":411,"statistic":9},[],{"title":410},{"VI":382},[],{"title":413},{"VI":414},"J. Jensen",{"url":369,"publisher":416,"properties":423},{"id":6,"createTime":7,"updateTime":7,"relativeEntities":417,"slug":9,"properties":418,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":420,"manageAffiliations":421,"indexDatabases":422,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},[],{"title":419},{"EN":12},[],[],[],{"pages":424,"volume":426},{"VOID":425},"3426-3428 vol.6",{"VOID":427},"6",[],{"id":430,"createTime":431,"updateTime":432,"relativeEntities":433,"slug":434,"properties":435,"entityType":42,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":448,"viewCount":15,"primaryUrl":449,"fullTextUrl":450,"authors":451,"publicationType":143,"publisherRelationship":497,"citationCount":9,"citationInfo":9,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":14,"lastCitationAnalyze":9,"indexDatabases":509,"openAccess":9,"references":9,"isForceReanalyzing":158},"40085cce-5a3e-49bb-bbba-2e19ff86a33d","2023-12-20T23:07:25.473+00:00","2026-09-08T08:15:15.541+00:00",[],"Polarimetric-radar-rainfall-algorithms-at-S-and-X-bands",{"abstract":436,"title":438,"keywords":441,"references":444,"doi":446},{"EN":437},"This paper presents a comparison of S- and X-band algorithms for rainfall estimate. This topic is fairly extensive and only limited results are presented for brevity. The results demonstrate that R(K\u002Fsub dp\u002F) at X-band can be useful at much lower rainrates compared to S-band.",{"EN":439,"VI":440},"Polarimetric radar rainfall algorithms at S and X bands","Các thuật toán đo lượng mưa bằng radar phân cực ở băng S và băng X",{"EN":442,"VI":443},"Radar polarimetry,Radar measurements,Reflectivity,Shape,Attenuation,Electromagnetic wave polarization,Radar cross section,Phase estimation,State estimation,Algorithm design and analysis","phép đo phân cực radar, các phép đo radar, độ phản xạ, hình dạng, độ suy giảm, phân cực sóng điện từ, diện tích phản xạ hiệu dụng radar, ước lượng pha, ước lượng trạng thái, thiết kế và phân tích thuật toán",{"VOID":445},"keenan, 1997, Sensitivity of C-band polarimetric variables to propagation and backscatter effects in rain, Prep rints 28th Coni on Radar Meteorology, 13\n10.1175\u002F1520-0426(1990)007\u003C0621:ESOMRA>2.0.CO;2\n10.1175\u002F1520-0426(1987)004\u003C0464:SORRAS>2.0.CO;2\n10.1175\u002F1520-0469(2000)057\u003C3406:MOMRSF>2.0.CO;2\n10.1175\u002F1520-0426(2001)018\u003C1773:REFPRM>2.0.CO;2\n10.1002\u002Fqj.49709640807\n10.1017\u002FCBO9780511541094",{"VOID":447},"10.1109\u002FIGARSS.2002.1025011",[46],"https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1025011\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1025011",[452,467,484],{"id":453,"sortIndex":15,"researcher":9,"roles":454,"affiliations":455,"properties":464,"displayName":466,"givenName":9,"familyName":9},"98dd8107-9dca-4bab-af84-7916eda99622",[53],[456],{"id":457,"sortIndex":15,"affiliation":458,"properties":9},"cc8ac95a-0b10-4435-84c6-31bbb70b2717",{"id":457,"createTime":9,"updateTime":9,"relativeEntities":459,"slug":9,"properties":460,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":463,"statistic":9},[],{"title":461},{"VI":462},"Istituto di Scienze dell,Atmosfera e del Clima (CNR), Area di Ricerca Roma-Tor Vergata, Rome, Italy",[],{"title":465},{"VI":466},"E. Gorgucci",{"id":468,"sortIndex":65,"researcher":9,"roles":469,"affiliations":470,"properties":481,"displayName":483,"givenName":9,"familyName":9},"dcb9c1b0-d240-4779-9f7b-798dc9756dc8",[53],[471],{"id":472,"sortIndex":15,"affiliation":473,"properties":479},"c170a95c-822a-4bdf-9446-1b110ab90867",{"id":472,"createTime":9,"updateTime":9,"relativeEntities":474,"slug":9,"properties":475,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":478,"statistic":9},[],{"title":476},{"VI":477},"Colorado State University, Fort Collins, CO, USA",[],{"title":480},{"VI":477},{"title":482},{"VI":483},"V. Chandrasekar",{"id":485,"sortIndex":91,"researcher":9,"roles":486,"affiliations":487,"properties":494,"displayName":496,"givenName":9,"familyName":9},"836651da-d940-4f9d-873e-9c3b85b47ef5",[53],[488],{"id":472,"sortIndex":15,"affiliation":489,"properties":9},{"id":472,"createTime":9,"updateTime":9,"relativeEntities":490,"slug":9,"properties":491,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":493,"statistic":9},[],{"title":492},{"VI":477},[],{"title":495},{"VI":496},"V.N. Bringi",{"url":449,"publisher":498,"properties":505},{"id":6,"createTime":7,"updateTime":7,"relativeEntities":499,"slug":9,"properties":500,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":502,"manageAffiliations":503,"indexDatabases":504,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},[],{"title":501},{"EN":12},[],[],[],{"pages":506,"volume":508},{"VOID":507},"275-277 vol.1",{"VOID":212},[],{"id":511,"createTime":512,"updateTime":513,"relativeEntities":514,"slug":515,"properties":516,"entityType":42,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":529,"viewCount":15,"primaryUrl":530,"fullTextUrl":531,"authors":532,"publicationType":143,"publisherRelationship":548,"citationCount":9,"citationInfo":9,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":14,"lastCitationAnalyze":9,"indexDatabases":560,"openAccess":9,"references":9,"isForceReanalyzing":158},"3db48df6-93a0-4691-bf43-12dd52f0b24f","2023-12-21T03:49:37.376+00:00","2026-09-07T08:15:01.482+00:00",[],"Change-detection-in-land-cover-pattern-using-region-growing-segmentation-and-fuzzy-classification",{"abstract":517,"title":519,"keywords":522,"references":525,"doi":527},{"EN":518},"This study has utilized a spatial region growing segmentation and a classification using fuzzy membership vectors to detect the changes in the images observed at different dates. Consider two coregistered images of the same scene, and one image is supposed to have the class map of the scene at the observation time. The method performs the unsupervised segmentation and the fuzzy classification for the other image, and then detects the changes in the scene by examining the changes in the fuzzy membership vectors of the segmented regions in the classification procedure. The algorithm has evaluated with simulated synthetic images.",{"EN":520,"VI":521},"Change detection in land-cover pattern using region growing segmentation and fuzzy classification","Phát hiện biến động mô hình lớp phủ mặt đất bằng phân vùng tăng trưởng vùng và phân loại mờ",{"EN":523,"VI":524},"Image segmentation,Layout,Merging,Remote sensing,Clustering algorithms,Change detection algorithms,Object detection,Earth,Partitioning algorithms,Iterative algorithms","phân đoạn ảnh, bố cục, hợp nhất, viễn thám, thuật toán phân cụm, thuật toán phát hiện thay đổi, phát hiện đối tượng, trái đất, thuật toán phân vùng, thuật toán lặp",{"VOID":526},"10.1109\u002F23.159772\nanderberg, 1973, Cluster Analysis for Application",{"VOID":528},"10.1109\u002FIGARSS.2002.1027200",[46],"https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1027200\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1027200",[533],{"id":534,"sortIndex":15,"researcher":9,"roles":535,"affiliations":536,"properties":545,"displayName":547,"givenName":9,"familyName":9},"9d183791-b540-4240-83c6-36faca8af57b",[53],[537],{"id":538,"sortIndex":15,"affiliation":539,"properties":9},"e9784e6e-e738-463d-b07e-9dbe4355a0b0",{"id":538,"createTime":9,"updateTime":9,"relativeEntities":540,"slug":9,"properties":541,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":544,"statistic":9},[],{"title":542},{"VI":543},"Department of Industrial Engineering, Kyungwon University, Gyeonggi, South Korea",[],{"title":546},{"VI":547},"Sanghoon Lee",{"url":530,"publisher":549,"properties":556},{"id":6,"createTime":7,"updateTime":7,"relativeEntities":550,"slug":9,"properties":551,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":553,"manageAffiliations":554,"indexDatabases":555,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},[],{"title":552},{"EN":12},[],[],[],{"pages":557,"volume":559},{"VOID":558},"3414-3416 vol.6",{"VOID":427},[],{"id":562,"createTime":563,"updateTime":564,"relativeEntities":565,"slug":566,"properties":567,"entityType":42,"verifyStatus":178,"verifyTime":580,"verifyNote":180,"languages":9,"translateLanguages":581,"viewCount":15,"primaryUrl":582,"fullTextUrl":583,"authors":584,"publicationType":143,"publisherRelationship":658,"citationCount":9,"citationInfo":9,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":14,"lastCitationAnalyze":9,"indexDatabases":670,"openAccess":9,"references":9,"isForceReanalyzing":158},"fa85e6fc-9c76-46cd-b230-88e53dd13a7e","2023-12-21T01:48:06.031+00:00","2026-09-07T05:13:49.262+00:00",[],"-Selective-region-growing-an-approach-based-on-object-oriented-classification-routines",{"abstract":568,"title":570,"keywords":573,"references":576,"doi":578},{"EN":569},"Modern satellite sensors of the IKONOS generation offer very high resolution data. As a consequence, thematic classes are represented with high spectral variance. Hence, traditional pixel-based classification often falls short and delivers incomplete and inhomogeneous results. To avoid or at least to reduce these effects a \"selective\" region growing algorithm was developed, which combines the evaluation of class specific spectral information and immediate vicinity relations of pixels. In a first pass the data are classified by using exclusively spectral information. Based on the assumption that neighbouring pixels are more likely to belong to same class, a second classification cycle is applied with a stringent \"vicinity\" condition combined with a wider definition of the spectral characteristics. Different from conventional region growing methods, these wider spectral characteristics can be defined separately for each class and are independent from spectral similarity to the original class. By re-iteration of the algorithm on the data, neighbouring pixels, belonging to the respective class, grow selectively, closing successive classification gaps. The algorithm reduces unclassified pixels remarkably, increasing the overall classification accuracy and can be easily adopted in other tasks.",{"EN":571,"VI":572},"\"Selective\" region growing - an approach based on object-oriented classification routines","Tăng trưởng vùng \"có chọn lọc\" - một phương pháp tiếp cận dựa trên các quy trình phân loại hướng đối tượng",{"EN":574,"VI":575},"Remote sensing,Testing,Statistics,Spatial resolution,Information analysis,Land use planning,Satellites,Scattering,Image analysis,Pixel","viễn thám, thử nghiệm, thống kê, độ phân giải không gian, phân tích thông tin, quy hoạch sử dụng đất, vệ tinh, tán xạ, phân tích hình ảnh, điểm ảnh",{"VOID":577},"schneider, 1995, Land Cover Mapping with MOMS-02\u002FD2 Mode 3 Data and the Application in a Fuelwood Demand and Supply Analysis in the Lake Tana Region of Ethiopia, Procc MOMS-02 Symposium Cologne Germany, 185\nbaatz, 2000, Multiresolution Segmentation – an optimization approach for high quality multi-scale image segmentation, presented at Angewandte Geographische Information sver-arbeitung Beiträge zum AGIT-Symposium Salzburg 2000\nlillesand, 2000, Remote Sensing and Image Interpretation\n10.1109\u002FTGE.1976.294460\nblaschke, 2000, Objektextraktion und regelbasierte Klassifikation von Femerkundungsdaten: Neue Moglichkciten für GIS-Anwender und Planer, presented at 5 Symposium Computergestützte Raumplanung – CORP2000",{"VOID":579},"10.1109\u002FIGARSS.2002.1026197","2025-02-21T22:46:45.258+00:00",[46],"https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1026197\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1026197",[585,600,615,628,643],{"id":586,"sortIndex":15,"researcher":9,"roles":587,"affiliations":588,"properties":597,"displayName":599,"givenName":9,"familyName":9},"61e991e9-1bb3-49cd-b0ab-95d2c4b29702",[53],[589],{"id":590,"sortIndex":15,"affiliation":591,"properties":9},"3c86943e-d41d-4f7e-93e1-f117d5c2a707",{"id":590,"createTime":9,"updateTime":9,"relativeEntities":592,"slug":9,"properties":593,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":596,"statistic":9},[],{"title":594},{"VI":595},"Chair of Land Use Plannina and Nature Conservation of the Technical University, Munich",[],{"title":598},{"VI":599},"C. Mott",{"id":601,"sortIndex":65,"researcher":9,"roles":602,"affiliations":603,"properties":612,"displayName":614,"givenName":9,"familyName":9},"01e1a974-1fb8-454f-9cfe-255f1dfe5ddb",[53],[604],{"id":605,"sortIndex":15,"affiliation":606,"properties":9},"7905aa62-56f2-4fae-b97c-1aefd53314b5",{"id":605,"createTime":9,"updateTime":9,"relativeEntities":607,"slug":9,"properties":608,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":611,"statistic":9},[],{"title":609},{"VI":610},"Limnological Research Station of the Technical University, Munich, Germany",[],{"title":613},{"VI":614},"T. Andresen",{"id":616,"sortIndex":91,"researcher":9,"roles":617,"affiliations":618,"properties":625,"displayName":627,"givenName":9,"familyName":9},"6c737447-fccf-49a9-82ce-5c90194d0d0e",[53],[619],{"id":605,"sortIndex":15,"affiliation":620,"properties":9},{"id":605,"createTime":9,"updateTime":9,"relativeEntities":621,"slug":9,"properties":622,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":624,"statistic":9},[],{"title":623},{"VI":610},[],{"title":626},{"VI":627},"S. Zimmermann",{"id":629,"sortIndex":107,"researcher":9,"roles":630,"affiliations":631,"properties":640,"displayName":642,"givenName":9,"familyName":9},"1e885160-ab97-429f-b3dd-1062fb9955ab",[53],[632],{"id":633,"sortIndex":15,"affiliation":634,"properties":9},"8a4e507d-a8d6-488d-9f10-7afc045a5017",{"id":633,"createTime":9,"updateTime":9,"relativeEntities":635,"slug":9,"properties":636,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":639,"statistic":9},[],{"title":637},{"VI":638},"Chair of Forest Yield Sciences of the Technical University, Munich",[],{"title":641},{"VI":642},"T. Schneider",{"id":644,"sortIndex":115,"researcher":9,"roles":645,"affiliations":646,"properties":655,"displayName":657,"givenName":9,"familyName":9},"fe53cf6b-fa07-4f36-9d07-e4c3fe7d781c",[53],[647],{"id":648,"sortIndex":15,"affiliation":649,"properties":9},"ea35b9f5-a8e2-459c-85b6-ce0a9860dd2d",{"id":648,"createTime":9,"updateTime":9,"relativeEntities":650,"slug":9,"properties":651,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":654,"statistic":9},[],{"title":652},{"VI":653},"Chair of Land Use Plannina and Nature Conservation of the Technical University, Munich, Germany",[],{"title":656},{"VI":657},"U. Ammer",{"url":582,"publisher":659,"properties":666},{"id":6,"createTime":7,"updateTime":7,"relativeEntities":660,"slug":9,"properties":661,"entityType":13,"verifyStatus":14,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":15,"subjectFields":663,"manageAffiliations":664,"indexDatabases":665,"url":9,"thumbnailPath":9,"statistic":9,"gsStatistic":9,"type":9,"analyzePriority":9},[],{"title":662},{"EN":12},[],[],[],{"pages":667,"volume":669},{"VOID":668},"1612-1614 vol.3",{"VOID":156},[],{"id":672,"createTime":673,"updateTime":674,"relativeEntities":675,"slug":676,"properties":677,"entityType":42,"verifyStatus":178,"verifyTime":690,"verifyNote":180,"languages":9,"translateLanguages":9,"viewCount":15,"primaryUrl":691,"fullTextUrl":692,"authors":693,"publicationType":143,"publisherRelationship":818,"citationCount":15,"citationInfo":830,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":832,"lastCitationAnalyze":674,"indexDatabases":833,"openAccess":9,"references":9,"isForceReanalyzing":158},"c6d1b002-6cc7-4edc-8104-a9086b6d63e0","2023-12-21T02:22:48.979+00:00","2026-08-16T08:50:12.342+00:00",[],"The-mechanism-of-earthquake-s-thermal-infrared-radiation-precursory-on-remote-sensing-images",{"abstract":678,"title":680,"gsPaper":682,"keywords":684,"references":686,"doi":688},{"EN":679},"At present, some satellites can acquire the radiation of the long-wave infrared emitted from natural objects on the ground, and can monitor the precursory information of the change of the thermal IR before earthquake. In fact, the temperature of the Earth's surface is a result that certain factors of the Earth's surface thermal balance system affect each other. There is much uncertainty when we capture the pre-earthquake temperature abnormal information by means of satellite thermal infrared sensor and there also are many reasons to cause thermal information to be abnormal. In order to investigate containing water changing in surface soil related to recorded lot of micro-quake before earthquakes, we have carried out the experiment in laboratory. The purpose of the experiment is to explore the acoustic waves from micro-fracture before earthquake which are able to change containing water in surface soil, so as to simulate the thermal abnormal picture on the remote sensing image related to a earthquake. The result of the experiment shows that the containing water in the surface soil originally taken on the natural decreasing trend in the spontaneous evaporation situation, as soon as the acoustic wave enters into the surface soil then the containing water is up. From the experiment result, we proposed that the change of water content in the Earth surface soils maybe was the one of mainly reasons that could be caused the thermal infrared radiation precursory information on the remote sensing images by the earthquake activity.",{"EN":681},"The mechanism of earthquake's thermal infrared radiation precursory on remote sensing images",{"VOID":683},"[\"4902583186669740507\"]",{"EN":685},"Infrared imaging,Remote sensing,Earthquakes,Surface soil,Earth,Remote monitoring,Satellites,Land surface temperature,Temperature sensors,Acoustic waves",{"VOID":687},"yonglin, 1989, The geoacoustic network of juxian and its data processing system, Acta seismologica sinica, 11, 652\n10.1080\u002F01431160050145054\nlixin, 1998, The experiment of the thermal infrared picture and radiation temperature feature of coal rock press, Chinese scientific(D) part, 20, 529\nyongen, 1987, A study on pre-seismic fault creep and ground temperature anomaly, Acta seismologica sinica, 9, 167\nwangqin, 1999, Study on the course of the destructive mine earthquake impend stage, Acta Seismologica Sinica, 21, 57\nguanshi, 1993, The principle and method of the geo-temperature forecast earthquake of remote sensing, Crustal Deformation and Earthquake, 13, 23\nqinliang, 1998, Study on the mechanism of the stress – dissipation heat to geo-temperature omen, Acta Seismologica Sinica, 20, 529\nzuji, 1990, The short-term earthquake predicting on the image of satellite, Science Reports, 35, 1324\nchunlin, 1999, Study on the abnormal relationship of water temperature and water level in Wu Li Ying before Ms6.2 Zhangbei earthquake, Earthquake, 19, 326\ngorny, 1988, The Earth outgoing IR radiation as an indicator of seismic activity, Proceedings of the Academy of Sciences USSR, 301, 67",{"VOID":689},"10.1109\u002FIGARSS.2002.1026436","2024-05-16T07:57:25.140+00:00","https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1026436\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1026436",[694,709,724,737,750,763,776,790,804],{"id":695,"sortIndex":15,"researcher":9,"roles":696,"affiliations":697,"properties":706,"displayName":708,"givenName":9,"familyName":9},"6cbcff52-0cb2-46e7-9e63-1012e57017c3",[53],[698],{"id":699,"sortIndex":15,"affiliation":700,"properties":9},"41ca3f15-7dea-45a1-a805-dfec6df99896",{"id":699,"createTime":9,"updateTime":9,"relativeEntities":701,"slug":9,"properties":702,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":705,"statistic":9},[],{"title":703},{"VI":704},"The information laboratory of the institute of Remote Sensing Application, Chinese Academy and Sciences, Beijing, China",[],{"title":707},{"VI":708},"Guo ZiQi",{"id":710,"sortIndex":65,"researcher":9,"roles":711,"affiliations":712,"properties":721,"displayName":723,"givenName":9,"familyName":9},"c6ddfa3e-5b1c-44f9-8905-f2687a2166e1",[53],[713],{"id":714,"sortIndex":15,"affiliation":715,"properties":9},"4a686295-bf9c-4ad7-bb78-45bb8c8e7fab",{"id":714,"createTime":9,"updateTime":9,"relativeEntities":716,"slug":9,"properties":717,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":720,"statistic":9},[],{"title":718},{"VI":719},"Institute of Geophysics, Chinese Seismological Bureau, Beijing, China",[],{"title":722},{"VI":723},"Qiang 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vol.4",{"VOID":278},{"total":15,"publishYear":9,"statisticByYear":831},{},"ERROR_IN_ANALYZE_CITATION",[],{"id":835,"createTime":836,"updateTime":837,"relativeEntities":838,"slug":839,"properties":840,"entityType":42,"verifyStatus":178,"verifyTime":854,"verifyNote":180,"languages":9,"translateLanguages":855,"viewCount":15,"primaryUrl":856,"fullTextUrl":857,"authors":858,"publicationType":143,"publisherRelationship":954,"citationCount":966,"citationInfo":967,"publishDate":9,"publishYear":9,"citationAnalyzeStatus":832,"lastCitationAnalyze":837,"indexDatabases":969,"openAccess":9,"references":970,"isForceReanalyzing":158},"82205ead-f873-4aaa-8029-5df174170fa0","2023-12-21T02:31:47.763+00:00","2026-08-14T08:20:25.737+00:00",[],"-Red-edge-optical-properties-of-corn-leaves-from-different-nitrogen-regimes",{"abstract":841,"title":844,"gsPaper":847,"keywords":849,"doi":852},{"EN":842,"VI":843},"High resolution (\u003C2 nm) optical spectra and biophysical measurements were acquired from corn leaves from field plots having four nitrogen fertilizer application rates: 20%, 50%, 100% and 150% of optimal levels. Reflectance (R), transmittance (T), and absorptance (A) spectra were obtained for both adaxial and abaxial leaf surfaces. The strongest relationships between foliar chemistry and optical properties were demonstrated for C\u002FN content and two optical parameters associated with the \"red edge inflection point\" (REIP): 1) anormalized first derivative maximum (Dmax) occurring between 695 and 730 nm (Dmax\u002FD744); and 2) the wavelength associated with Dmax (WL of REIP). A nonlinear increase in the Dmax\u002FD744 ratio as a function of C\u002FN content was observed for all optical properties (r\u002Fsup 2\u002F = 0.90-0.95). Similarly, a nonlinear decrease in the WL of REIP as a function of C\u002FN content was observed for all optical properties (RT, RB, TT, and AT) (r\u002Fsup 2\u002F = 0.85-0.96). The Dmax\u002FD744 ratio increased as the WL of REIP declined from \u002Fspl sim\u002F730 to 700 nm, with curves per optical property expressing different degrees of nonlinearity.","Các phổ quang học có độ phân giải cao (\u003C2 nm) và các phép đo sinh lý học đã được thu thập từ lá ngô ở các ô thí nghiệm với bốn mức độ bón phân ni-tơ: 20%, 50%, 100% và 150% mức tối ưu. Các phổ phản xạ (R), truyền qua (T), và hấp thụ (A) đã được thu thập cho cả hai bề mặt lá bên trên và bên dưới. Mối quan hệ mạnh nhất giữa hóa học lá và các tính chất quang học đã được chứng minh cho hàm lượng C\u002FN và hai tham số quang học liên quan đến \"điểm uốn biên đỏ\" (REIP): 1) cực đại đạo hàm bậc một không chuẩn hóa (Dmax) xảy ra giữa 695 và 730 nm (Dmax\u002FD744); và 2) bước sóng liên quan đến Dmax (WL của REIP). Một sự gia tăng phi tuyến tính trong tỷ lệ Dmax\u002FD744 theo hàm lượng C\u002FN đã được quan sát cho tất cả các tính chất quang học (r\u002Fsup 2\u002F = 0.90-0.95). Tương tự, một sự giảm phi tuyến tính trong WL của REIP theo hàm lượng C\u002FN đã được quan sát cho tất cả các tính chất quang học (RT, RB, TT, và AT) (r\u002Fsup 2\u002F = 0.85-0.96). Tỷ lệ Dmax\u002FD744 đã tăng lên khi WL của REIP giảm từ \u002Fspl sim\u002F730 đến 700 nm, với các đường cong cho mỗi tính chất quang học thể hiện các mức độ phi tuyến tính khác nhau.",{"EN":845,"VI":846},"\"Red edge\" optical properties of corn leaves from different nitrogen regimes","Tính chất quang học \"biên đỏ\" của lá ngô từ các chế độ ni-tơ khác nhau",{"VOID":848},"[\"12280171706000853991\"]",{"EN":850,"VI":851},"Nitrogen,Biomedical optical imaging,Nonlinear optics,Optical sensors,Laboratories,US Department of Agriculture,Vegetation,Fertilizers,Reflectivity,Physics","Ni-tơ, Hình ảnh quang học sinh học, Quang học phi tuyến, Cảm biến quang học, Phòng thí nghiệm, Bộ Nông nghiệp Hoa Kỳ, Thảm thực vật, Phân bón, Độ phản xạ, Vật lý",{"VOID":853},"10.1109\u002FIGARSS.2002.1026495","2024-04-29T17:01:31.895+00:00",[46],"https:\u002F\u002Fieeexplore.ieee.org\u002Fabstract\u002Fdocument\u002F1026495\u002F","https:\u002F\u002Fieeexplore.ieee.org\u002Fstamp\u002Fstamp.jsp?tp=&arnumber=1026495",[859,874,891,915,928,941],{"id":860,"sortIndex":15,"researcher":9,"roles":861,"affiliations":862,"properties":871,"displayName":873,"givenName":9,"familyName":9},"085814cc-f972-45e3-aa7d-4503c2cd040d",[53],[863],{"id":864,"sortIndex":15,"affiliation":865,"properties":9},"9e14b53c-94a9-4732-8236-1e22a145c151",{"id":864,"createTime":9,"updateTime":9,"relativeEntities":866,"slug":9,"properties":867,"entityType":9,"verifyStatus":9,"verifyTime":9,"verifyNote":9,"languages":9,"translateLanguages":9,"viewCount":9,"url":9,"parentIds":870,"statistic":9},[],{"title":868},{"VI":869},"NASA\u002FGSFC, Laboratory for Terrestrial Physics, Greenbelt, MD",[],{"title":872},{"VI":873},"E.M. 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