[1] Yin Wen, Li Yuanxiang, Zhou Zeming, et al.. Remote sensing image fusion based on spares representation [J]. Acta Optica Sinica, 2013, 33(4): 0428003.
[2] G Hong, A N Zhang, F Q Zhou, et al.. Integration of optical and synthetic aperture radar (SAR) images to differentiate grassland and alfalfa in Prairie area [J]. International Journal of Applied Earth Observation and Geoinformation, 2014, 28(5): 12-19.
[3] Y Z Zhang, H S Zhang, H Lin. Improving the impervious surface estimation with combined use of optical and SAR remote sensing images [J]. Remote Sensing of Environment, 2014, 141(2):155-167.
[4] S H Chen, R H Zhang, H B Su, et al.. SAR and multi-spectral image fusion using generalized HIS transform based on atrous wavelet and EMD decompositions [J]. IEEE Sensors Journals, 2010, 10(3): 737-745.
[5] L Alparone, S Baronti, A Garzelli, et al.. Landsat ETM+ and SAR image fusion based on generalizatied intensity modulation [J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(12): 2832-2839.
[6] Y Chibani. Integration of panchromatic and SAR features into multispectral spot images using ‘àtrous’ wavelet decomposition [J]. International Journal of Remote Sensing, 2007, 28(10): 2295-2307.
[7] Y Byun, J Choi, Y Han. An area-based image fusion scheme for the integration of SAR and optical satellite imagery [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(5): 2212-2220.
[8] F Nencini, A Garzelli, S Baronti, et al.. Remote sensing image fusion using the curvelet transform [J]. Information Fusion, 2007, 8 (2): 143-156.
[9] M N Do, M Vetterli. The contourlet transform: An efficient directional multiresolution image representation [J]. IEEE Transactions on Image Processing, 2005, 14(12): 2091-2106.
[11] L D C Arthur, J P Zhou, N D Minh. The nonsubsampled contourlet transform: Theory, design, and applications [J]. IEEE Transactions on Image Processing, 2006, 15(10): 3089-3101.
[12] J H Adu, J H Gan, Y Wang, et al.. Image fusion based on nonsubsampled contourlet transform for infrared and visible light image [J]. Infrared Physics & Technology, 2013, 61(11): 94-100.
[13] Liu Nannan, Xu Shuyan, Hu Jun, et al.. Hyper accuracy star location algorithm based on nonsubsampled Contourlet transform and mapped least squares support vector machine [J]. Acta Optica Sinica, 2013, 33(5): 0512001.
[14] L Miao, Y Q Zhao, X H Wang, et al.. Retinal vessel enhancement based on multi-scale top-hat transformation and histogram fitting stretching [J]. Optics & Laser Technology, 2014, 58(6): 56-62.
[15] X Z Bai. Image fusion through feature extraction by using sequentially combined toggle and top-hat based contrast operator [J]. Appl Opt, 2012, 51(31): 7566-7575.
[16] R M Haralick, K Shanmugam, I Dinstein. Textural features for image classification [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1973, 3(6):610-621.
[17] Yang Zhi, Mao Shiyi, Chen Wei. Local orientation energy based robust image fusion algorithm [J]. Journal of Electronics & Information Technology, 2006, 28(9): 1537-1541.
[18] W Zhou, A C Bovik. A universal image quality index [J]. IEEE Signal Processing Letters, 2002, 9(3): 81-84.
[19] G Piella, H Heijmans. A new quality metric for image fusion [C]. Proceedings of the Tenth International Conference on Image Processing, 2003, 3:173-176.
[20] C S Xydeas, V Petrovic. Objective image fusion performance measure [J]. Electronic Letters, 2000, 36(4): 308-309.