Fusion of HJ1B and ALOS PALSAR data for land cover classification using machine learning methods
International Journal of Applied Earth Observation and Geoinformation - Tập 52 - Trang 192-203 - 2016
Tài liệu tham khảo
Akar, 2012, Classification of multispectral images using Random Forest algorithm, J. Geod. Geoinf., 1, 105, 10.9733/jgg.241212.1
Amolins, 2007, Wavelet based image fusion techniques—An introduction: review and comparison, ISPRS J. Photogramm., 62, 249, 10.1016/j.isprsjprs.2007.05.009
Ban, 2010, Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: object-based and knowledge-based approach, Int. J. Remote Sens., 31, 1391, 10.1080/01431160903475415
Basuki, 2013, Estimating tropical forest biomass more accurately by integrating ALOS PALSAR and Landsat-7 ETM+ data, Int. J. Remote Sens., 34, 4871, 10.1080/01431161.2013.777486
Benz, 2004, Multi-resolution: object-oriented fuzzy analysis of remote sensing data for GIS-ready information, ISPRS J. Photogramm., 58, 239, 10.1016/j.isprsjprs.2003.10.002
Blaschke, 2010, Object based image analysis for remote sensing, ISPRS J. Photogramm., 65, 2, 10.1016/j.isprsjprs.2009.06.004
Breiman, 2001, Random forests, Mach. Learn., 45, 5, 10.1023/A:1010933404324
Burges, 1998, A tutorial on support vector machines for pattern recognition, Data Min. Knowl. Disc., 2, 121, 10.1023/A:1009715923555
Cervone, 2012, Supervised machine learning of fused RADAR and optical data for land cover classification, J. Appl. Remote Sens., 6, 1
Chettri, 2013, Linking spatio-temporal land cover change to biodiversity conservation in the Koshi Tappu Wildlife Reserve, Nepal.Divers, 5, 335, 10.3390/d5020335
Chibani, 2006, Additive integration of SAR features into multispectral SPOT images by means of the à trous wavelet decomposition, ISPRS J. Photogramm., 60, 306, 10.1016/j.isprsjprs.2006.05.001
Choi, 2005, Fusion of multispectral and panchromatic satellite images using the curvelet transform, IEEE Geosci. Remote Sens. Lett., 2, 136, 10.1109/LGRS.2005.845313
Coillie, 2007, Feature selection by genetic algorithms in object-based classification of IKONOS imagery for forest mapping in Flanders, Belgium, Remote Sens. Environ., 110, 476, 10.1016/j.rse.2007.03.020
Drăgut, 2014, Automated parameterization for multi-scale image segmentation on multiple layers, ISPRS J. Photogramm., 88, 119, 10.1016/j.isprsjprs.2013.11.018
Duro, 2012, A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery, Remote Sens. Environ, 118, 259, 10.1016/j.rse.2011.11.020
Ehlers, 2010, Multi-sensor image fusion for pansharpening in remote sensing, Int. J. Image Data fusion, 1, 25, 10.1080/19479830903561985
Flores-De-Santiago, 2013, An object-oriented classification method for mapping mangroves in Guinea West Arica, using multipolarized ALOS PALSAR L-band data, Int. J. Remote Sens., 34, 563, 10.1080/01431161.2012.715773
Franco-Lopez, 2001, Estimation and mapping of forest stand density volume, and cover type using the k-nearest neighbors method, Remote Sens. Environ., 77, 251, 10.1016/S0034-4257(01)00209-7
Freeman, 2012, Evaluating effectiveness of down-sampling for stratified designs and unbalanced prevalence in Random Forest models of tree species distributions in Nevada, Ecol. Model., 233, 1, 10.1016/j.ecolmodel.2012.03.007
Gao, 2006, Comparison of pixel-based and object-oriented image classification approaches −a case study in a coal fire area, Wuda, Inner Mongolia, China, Int. J. Remote Sens., 27, 4039, 10.1080/01431160600702632
Gislason, 2006, Random Forests for land cover classification, Pattern Recogn. Lett., 27, 294, 10.1016/j.patrec.2005.08.011
González-Audícana, 2005, Comparison between Mallat’s and the ‘à trous’ discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images, Int. J. Remote Sens., 26, 595, 10.1080/01431160512331314056
Jia, 2014, Land cover classification usingLandsat 8 operational land imager data in Beijing, China, Geocarto Int., 29, 941, 10.1080/10106049.2014.894586
Jiang, 2000, A study on the vegetation in the east side of Helan Mountain, Plant Ecol., 149, 119, 10.1023/A:1026571016286
Johnson, 2012, Satellite image pansharpensing using a hybrid approach for object-based image analysis, ISPRS Int. J. Geo-Inf., 1, 228, 10.3390/ijgi1030228
Larrañaga, 2011, Crop classification in rain-fed and irrigated agricultural areas using Landsat TM and ALOS/PALSAR data, Can. J. Remote Sens., 37, 157, 10.5589/m11-022
Li, 1995, Multisensor image fusion using the wavelet transform, Graph. Model. Im. Proc., 57, 235, 10.1006/gmip.1995.1022
Li, 2002, Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images, Inform. Fusion, 3, 17, 10.1016/S1566-2535(01)00037-9
Li, 2012, A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region, ISPRS J. Photogramm, 70, 26, 10.1016/j.isprsjprs.2012.03.010
Liaw, 2002, Classification and regression by randomForest, R News Newslett. R Project, 2, 18
Liu, 2010, Assessing object-based classification: advantages and limitations, Remote Sens. Lett., 1, 187, 10.1080/01431161003743173
Long, 2013, Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest, GISci Remote Sens., 50, 418, 10.1080/15481603.2013.817150
Lu, 2011, A comparison of multisensor integration methods for land cover classification in the Brazilian Amazon, GISci. Remote Sens., 48, 345, 10.2747/1548-1603.48.3.345
McNairn, 2009, The contribution of ALOS PALSAR multipolarization and Polarimetric data to crop classification, IEEE Trans. Geosci. Remote Sens., 47, 3981, 10.1109/TGRS.2009.2026052
Meng, 2011, Validation of HJ-1B charge-coupled device vegetation index products wih spectral reflectance of Hyperion, Int. J. Remote Sens, 32, 9051, 10.1080/01431161.2010.549847
Myint, 2011, Per-pixel vs: object-based classification of urban land cover extraction using high spatial resolution imagery, Remote Sens. Environ., 115, 1145, 10.1016/j.rse.2010.12.017
Núñez, 1999, Multiresolution-Based image fusion with additive wavelet decomposition, IEEE Trans. Geosci. Remote Sens., 37, 1204, 10.1109/36.763274
Naidoo, 2012, Classification of savanna tree species in the Greater kruger National Park region, by integrating hyperspectral and LIDAR data in a Random Forest data mining environment, ISPRS J. Photogramm., 69, 167, 10.1016/j.isprsjprs.2012.03.005
Otukei, 2010, Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms, Int. J. Appl. Earth Obs. Geoinfe., S27
Pajares, 2004, A wavelet-based image fusion tutorial, Pattern Recogn., 37, 1855, 10.1016/j.patcog.2004.03.010
Pal, 2005, Random forest classifier for remote sensing classification, Int. J. Remote Sens., 26, 217, 10.1080/01431160412331269698
Pal, 2006, Support vector machine-based feature selection for land cover classification: a case study with DAIS hyperspectral data, Int. J. Remote Sens., 27, 2877, 10.1080/01431160500242515
Powell, 2010, Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: a comparison of empirical modeling approaches, Remote Sens. Environ., 114, 1053, 10.1016/j.rse.2009.12.018
Qi, 2012, A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data, Remote Sens. Environ., 118, 21, 10.1016/j.rse.2011.11.001
Riaño, 2003, Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types, IEEE Trans. Geosci. Remote Sens., 41, 1056, 10.1109/TGRS.2003.811693
Shimoni, 2009, Fusion of PolSAR and PolInSAR data for land cover classification, Int. J. Appl. Earth Obs. Geoinf., 11, 169
Tomppo, 2009, Predicting categorical forest variables using an improved k-nearest neightbor estimator and Landsat imagery, Remote Sens. Environ., 113, 500, 10.1016/j.rse.2008.05.021
Tuanmu, 2014, A global 1-Km consensus land-cover product for biodiversity and ecosystem modeling, Glob. Ecol. Biogeogr., 23, 1031, 10.1111/geb.12182
Turkar, 2012, Classification accuracy of multi-frequency and multi-polarization SAR images for various land covers, IEEE Trans. Geosci. Remote Sens., 5, 936
Ulander, 1996, Radiometric slope correction of synthetic-aperture radar images, IEEE Trans. Geosci. Remote Sens., 34, 1115, 10.1109/36.536527
Waser, 2011, Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric vaiables derived from Airborne Digital Sensor (ADS40) and RC30 data, Remote Sens. Environ., 115, 76, 10.1016/j.rse.2010.08.006
Waske, 2007, Fusion of support vector machines for classification of multisensor data, IEEE Trans. Geosci. Remote Sens., 45, 3858, 10.1109/TGRS.2007.898446
Waske, 2008, Classifying multilevel imagery from SAR and Optical sensors by decision fusion, IEEE Trans. Geosci. Remote Sens., 46, 1457, 10.1109/TGRS.2008.916089
Zhou, 2011, Terrain slope correction and precise registration of SAR data for forest mapping and monitoring, 1
Zhu, 2012, Assessment of spectral polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data, Remote Sens. Environ., 117, 72, 10.1016/j.rse.2011.07.020
Zhu, 2013, Land cover classification using moderate resolution satellite imagery and random forests with post-hoc smoothing, J. Spat. Sci., 58, 323, 10.1080/14498596.2013.819600