Evaluation of pan-sharpening methods for spatial and spectral quality

Jagalingam Pushparaj1, Arkal Vittal Hegde1
1Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Surathkal, Mangaluru, 575025, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

Aiazzi, B, Alparone L, Baronti S, Garzelli A, Selva M (2011) Twenty-five years of pan sharpening, 2nd edition: 533–548. doi: 10.1201/b11656-30

Alimuddin I, Sumantyo JTS, Kuze H (2012) Assessment of pan-sharpening methods applied to image fusion of remotely sensed multi-band data. Int J Appl Earth Obs Geoinf 18:165–175. doi: 10.1016/j.jag.2012.01.013

Alparone L, Aiazzi B, Baronti S, Garzelli A, Nencini F, Selva M (2008) Multispectral and panchromatic data fusion assessment without reference. Photogramm Eng Remote Sens 74:193–200

Alparone L, Wald L, Chanussot J, Thomas C, Gamba P, Bruce L (2007) Comparison of Pansharpening algorithms: outcome of the 2006 GRS-S data-fusion contest. IEEE Trans Geosci Remote SENSINGI 45:3012–3021

Ashraf S, Brabyn L, Hicks BJ (2012) Image data fusion for the remote sensing of freshwater environments. Appl Geogr 32:619–628. doi: 10.1016/j.apgeog.2011.07.010

Chavez P, Sides SC, Anderson JA (1991) Comparison of three different methods to merge multi resolution and multispectral data: Landsat TM and SPOT panchromatic. Photogramm Eng Remote Sens 57(03):295–303

Chavez PST, Kwarteng AY (1989) Extracting spectral contrast in Landsat Thematic Mapper image data using selective principal component analysis. Photogramm Eng Remote Sensing 55:339–348

Choi M (2006) A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter. IEEE Trans Geosci Remote Sens 44(6):1672–1682

Crippen RE (1989) A simple spatial filtering routine for the cosmetic removal of scan-line noise from Landsat TM P-tape imagery. Photogramm Eng Remote Sensing 55:327–331

Du P, Liu S, Xia J, Zhao Y (2013) Information fusion techniques for change detection from multi-temporal remote sensing images. Information Fusion 14(1):19–27. doi: 10.1016/j.inffus.2012.05.003

Du Q, Younan NH, King R, Shah VP (2007) On the performance evaluation of pan-sharpening techniques. IEEE Geosci Remote Sens Lett 4:518–522. doi: 10.1109/LGRS.2007.896328

Ehlers MED-M, Kolouch D, Lohman P, Dennert-Möller E (1984) Nonrecursive filter techniques in digital processing of remote sensing imagery. In: Pres. Paper Xvth Int: 163–175

Fonseca L, Namikawa L, Castejon E (2011) Image fusion for remote sensing applications. InTech

Gangkofner UG, Pradhan PS, Holcomb DW (2008) Optimizing the high-pass filter addition technique for image fusion. Photogramm Eng Remote Sens 74:1107–1118. doi: 10.14358/PERS.74.9.1107

Ghosh A, Joshi P (2013) Assessment of pan-sharpened very high-resolution WorldView-2 images. Int J Remote Sens 34(23):8336–8359. doi: 10.1080/01431161.2013.838706

González-Audícana M, Otazu X, Fors O, Seco A (2005) Comparison between Mallat’s and the “à trous” discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images. International Journal Remote Sens 26:595–614. doi: 10.1080/01431160512331314056

Hallada W, Cox S (1983) Image sharpening for mixed spatial and spectral resolution satellite systems. International Symposium on Remote Sensing of the Environment 17:9–13

Harish K, Singh D (2010) Quality assessment of fused image of MODIS and PALSAR. Prog Electromagn Res 24:191–221

Jagalingam P, Hegde AV (2015) A review of quality metrics for fused image. Aquatic Procedia 4(Icwrcoe):133–142. doi: 10.1016/j.aqpro.2015.02.019

Jameel A, Riaz MM, Ghafoor A (2016) Guided filter and IHS-based pan-sharpening. IEEE Sensors J 16(1):192–194

King RL, Wang JWJ (2001) A wavelet based algorithm for pan sharpening Landsat 7 imagery. In: Proceedings of the International of Geoscience and Remote Sensing Symposium (IGARSS 2001) 849–851

Klonus S, Ehlers M (2007) Image fusion using the Ehlers spectral characteristics preservation algorithm. GIScience & Remote Sensing 44(2):93–116. doi: 10.2747/1548-1603.44.2.93

Laben C, Brower B (2000) Process for enhancing the spatial resolution of multispectral imagery using pan-sharpening. US Patent 6,011,875 1–8

Marcello J, Medina A, Eugenio F (2013) Evaluation of spatial and spectral effectiveness of pixel-level fusion techniques. IEEE Geosci Remote Sens Lett 10(3):432–436

Naidu VPS (2010) Discrete cosine transform-based image fusion. Def Sci J 60:48–54

Padwick C, Scientist P, Deskevich M et al (2010) WorldView-2 pan-sharpening. Asprs 2010(48):26–30

Ranchin T, Wald L (2000) Fusion of high spatial and spectral resolution images: the ARSIS concept and its implementation. Photogramm Eng Remote Sensing 66:49–61

Ranchin T, Wald L (1993) The wavelet transform for the analysis of remotely sensed images. Int J Remote Sens 14:615–619. doi: 10.1080/01431169308904362

Sarp G (2014) Spectral and spatial quality analysis of pan-sharpening algorithms: a case study in Istanbul. European Journal of Remote Sensing 47:19–28

Shahdoosti HR, Ghassemian H (2015) Fusion of MS and PAN images preserving spectral quality. IEEE Geosci Remote Sens Lett 12(3):611–615. doi: 10.1109/LGRS.2014.2353135

Siddiqui Y (2003) The modified IHS method for fusing satellite imagery. In Proceedings of the ASPRS 2003 Annual Conference: 153–158

Van der Meer F (2006) The effectiveness of spectral similarity measures for the analysis of hyperspectral imagery. Int J Appl Earth Obs Geoinf 8(1):3–17. doi: 10.1016/j.jag.2005.06.001

Vivone G, Alparone L, Chanussot J, Mura MD, Garzelli A, Licciardi GA, Restaino R, Wald L (2014) Pansharpening algorithms. IEEE Trans Geosci Remote Sens 53(5):2565–2586

Wald L (2000) Quality of high resolution synthesised images: is there a simple criterion? In: International Conference of Fusion Earth Data, 99–103

Wang W, Chang F (2011) A multi-focus image fusion method based on Laplacian pyramid. J Comput 6:2559–2566. doi: 10.4304/jcp.6.12.2559-2566

Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13:1–14

Wu B, Fu Q, Sun L, Wang X (2015) Enhanced hyperspherical color space fusion technique preserving spectral and spatial content. J Appl Remote Sens 9:97291–97218. doi: 10.1117/1.JRS.9.097291

Yang B, Jing Z, Zhao H (2010) Review of pixel-level image fusion. J Shanghai Jiaotong Univ 15:6–12. doi: 10.1007/s12204-010-7186-y

Yun Zhang (2004a) Understanding image fusion. Photogramm Eng Remote Sens 657–661

Yusuf Y, Sri Sumantyo JT, Kuze H (2013) Spectral information analysis of image fusion data for remote sensing applications. Geocarto Int 28:291–310. doi: 10.1080/10106049.2012.692396

Zhang J (2010) Multi-source remote sensing data fusion: status and trends. Int J Image Data Fusion 1:5–24. doi: 10.1080/19479830903561035

Zhang Y (2004b) System and method for image fusion. 1:1–8

Zhang Y, Mishra RK (2013) From UNB PanSharp to Fuze go—the success behind the pan-sharpening algorithm. Int J Image Data Fusion 5:39–53. doi: 10.1080/19479832.2013.848475

Zhou J, Civco DL, Silander JA (1998) A wavelet transform method to merge Landsat TM and SPOT panchromatic data. Int J Remote Sens 19:743–757. doi: 10.1080/014311698215973

Zoran LF (2009) Quality evaluation of multiresolution remote sensing image fusion. UPB Sci Bull, Ser C 71:38–52