Remote Sensing Image Fusion Based on Multispectral Image Super-Resolution

Yang Chao; Yang Bin; Huang Guoyu

doi:10.3788/lop53.021001

[1] Simone G, Farina A, Morabito F C, et al.. Image fusion techniques for remote sensing applications[J]. Information Fusion, 2002, 3(1): 3-15.

[2] Pohl C, van Genderen J L. Multisensor image fusion in remote sensing: Concepts, methods, and applications[J]. International Journal of Remote Sensing, 1998, 19(5): 823-854.

[3] Zhang Libao, Zhang Jue. A new adaptive fusion method based on saliency analysis for remote sensing images[J]. Chinese J Lasers, 2015, 42(1): 0114001.

[4] Guo Yulong, Wang Yongbo, Li Yunmei, et al.. Research of multi-source waterremote image fusion algorithm based onbiooptical model[J]. Acta Optica Sinica, 2015, 35(4): 0410001.

[5] Zhou Yuren, Geng Aihun, Wang Ying, et al.. Contrast enhanced fusion of infrared and visible images[J]. Chinese J Lasers, 2014, 41(9): 0909001.

[6] Cai Zhishan, Chen Musheng. Study on multi- focus image fusionmethodbased on wavelettransfrom[J]. Laser & Optoelectronics Progress, 2015, 52(9): 091003.

[7] Tu T M, Huang P S, Hung C L, et al.. A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery[J]. Geoscience and Remote Sensing Letters, 2004, 1(4): 309-312.

[8] Chavez P S, Sides S C, Anderson J A. Comparison of three different methods to merge multiresolution and multispectral data-Landsat TM and SPOT panchromatic[J]. Photogrammetric Engineering and Remote Sensing, 1991, 57(3): 295-303.

[9] Choi M. A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(6): 1672-1682.

[10] Laben C A, Brower B V. Process for Enhancing the Spatial Resolution of Multispectral Imagery using Pan-Sharpening: US 6, 011, 875[P]. 2000-01-04.

[11] Ghassemian H. A retina based multi-resolution image-fusion[C]. IGARSS, 2001, 2: 709-711.

[12] Pradhan P S, King R L, Younan N H, et al.. Estimation of the number of decomposition levels for a wavelet- based multiresolution multisensor image fusion[J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(12): 3674- 3686.

[13] Nunez J, Otazu X, Fors O, et al.. Multiresolution- based image fusion with additive wavelet decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(3): 1204-1211.

[14] Choi M, Kim R Y, Nam M R, et al.. Fusion of multispectral and panchromatic satellite images using the curvelet transform [J]. Geoscience and Remote Sensing Letters, 2005, 2(2): 136-140.

[15] Zheng S, Shi W L, Liu J, et al.. Remote sensing image fusion using multiscale mapped LS-SVM[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(5): 1313-1322.

[16] Liu B, Li K, Liu W J, et al.. Construction method of three-channel non-separable symmetric wavelets with arbitrary dilation matrices and its applications in multispectral image fusion[J]. IET, 2013, 7(7): 679-685.

[17] Otazu X, Gonzalez- Audicana M, Fors O, et al.. Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(10): 2376-2385.

[18] Shah V P, Younan N H, King R L. An efficient pan-sharpening method via a combined adaptive PCA approach and contourlets [J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(5): 1323-1335.

[19] Wu Yiquan, Tao Feixiang. Multispectral and panchromatic image fusionbased on improved projected gradient NMF in NSST domain[J]. Acta Optica Sinica, 2015, 35(4): 0410005.

[20] Yang J C, Wright J, Huang T S, et al.. Image super-resolution via sparse representation[J]. IEEE Transactions on Image Processing, 2010, 19(11): 2861-2873.

[21] Li S. Multisensor remote sensing image fusion using stationary wavelet transform: effects of basis and decomposition level [J]. International Journal of Wavelets, Multiresolution and Information Processing, 2008, 6(1): 37-50.

[22] Freeman W T, Pasztor E C, Carmichael O T. Learning low-level vision[J]. International Journal of Computer Vision, 2000, 40(1): 25-47.

[23] Sun J, Zheng N N, Tao H, et al.. Image hallucination with primal sketch priors[C]. 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003, 2: II-729-36.

[24] Li S T, Yang B, Hu J W. Performance comparison of different multi-resolution transforms for image fusion[J]. Information Fusion, 2011, 12(2): 74-84.

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