Acta Optica Sinica, Volume. 33, Issue 4, 428003(2013)
Remote Sensing Image Fusion Based on Sparse Representation
[1] [1] M. Choi. A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter[J]. IEEE Trans. Geoscience and Remote Sensing, 2006, 44(6): 1672~1682
[2] [2] P. S. Chavez, S. C. Sides, J. A. Anderson. Comparison of three different methods to merge multi-resolution and multispectral data: Landsat TM and SPOT panchromatic[J]. Photogrammetric Engineering & Remote Sensing, 1991, 57(3): 295~303
[4] [4] D. A. Yocky. Image merging and data fusion by means of the discrete two-dimensional wavelet transform[J]. J. Opt. Soc. Am., 1995, 12(9): 1834~1841
[6] [6] Yang Lixin, Yang Jiankun, Jia Hui et al.. Remote sensing images fusion algorithm based on the monsubsampled Contourlet transform[J]. Chinese J. Lasers, 2012, 39(s1): s109005
[7] [7] J. Hu, S. Li, B. Yang. Remote sensing image fusion based on HIS transform and sparse representation[C]. CCPR, 2010, 5659224. 1~4
[8] [8] S. Li, B. Yang. A new pan-sharpening method using a compressed sensing technique[J]. IEEE Trans. Geoscience and Remote Sensing, 2011, 49(2): 738~746
[9] [9] W. Dou, Y. Chen, X. Li et al.. A general framework for component substitution image fusion: an implementation using the fast image fusion method source[J]. Computers and Geosciences, 2007, 33(2): 219~228
[10] [10] S.Chen, D. Donoho, M. Saunders. Atomic decomposition by basis pursuit[J]. SIAM J. Sci. Comput., 1999, 20(1): 33~61
[11] [11] G. Davis, S. Mallat, M. Avellaneda. Adaptive greedy approximation[J]. Constructive Approximation, 1997, 13(1): 57~98
[13] [13] Y. C. Pati, R. Rezaiifar, P. S. Krishnaprasad. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition[C]. Proceedings of the 27th Annual Asilomar Conference on Signals, Systems, and Computers, 1993, 1:40~44
[14] [14] B. Aiazzi, S. Baronti, M. Selva. Improving component substitution pansharpening through multivariate regression of MS+Pan data[J]. IEEE Trans. Geoscience and Remote Sensing, 2007, 45(10): 3230~3239
[16] [16] J. Yang, J. Wright, T. Huang et al.. Image super-resolution via sparse representation[J]. IEEE Trans. Image Processing, 2010, 19(11): 2861~2873
[17] [17] M. J. Choi, R. Y. Kim, M. R. Nam et al.. Fusion of multispectral and panchromatic satellite images using the curvelet transform [J]. IEEE Trans. Geoscience and Remote Sensing Letters, 2005, 2(1): 136~140
[18] [18] M. M. Khan, L. Alparone, J. Chanussot. Pansharpening quality assessment using the modulation transfer functions of instruments[J]. IEEE Trans. Geoscience and Remote Sensing, 2009, 47(11): 3880~3891
[19] [19] L. Alparone, S. Baronti, A. Garzelli et al.. A global quality measurement of pan-sharpened multispectral imagery[J]. IEEE Geoscience Remote Sensing Letters, 2004, 1(4): 313~317
[20] [20] Liu Bin, Peng Jiaxiong. Multi-spectral image fusion method based on nonsubsampled three channels nonseparable symmetrical wavelets [J]. Acta Electronica Sinica, 2011, 39(5): 1094~1099
[21] [21] O. Xavier, G. A. Maria, F. Octavi. Introduction of sensor spectral response into image fusion methods: application to wavelet-based methods[J]. IEEE Trans. Geoscience and Remote Sensing, 2005, 43(10): 2376~2384
Get Citation
Copy Citation Text
Yin Wen, Li Yuanxiang, Zhou Zeming, Liu Shiqian. Remote Sensing Image Fusion Based on Sparse Representation[J]. Acta Optica Sinica, 2013, 33(4): 428003
Category: Remote Sensing and Sensors
Received: Sep. 5, 2012
Accepted: --
Published Online: Feb. 26, 2013
The Author Email: Wen Yin (yinwen@sjtu.edu.cn)