[1] [1] C L Chien, W H Tsai. Image fusion with no gamut problem by improved nonlinear IHS transforms for remote sensing [J]. IEEE Trans Geosci Remote Sens, 2014, 52(1): 651-663.

[2] [2] Xia Yu, Qu Shiru. Color image fusion framework based on improved (2D)2 PCA [J]. Acta Optica Sinica, 2014, 34(10): 1010001.

[3] [3] Zhou Yuren, Geng Aihui, Wang Ying, et al.. Contrast enhanced fusion of infrared and visible images [J]. Chinese J Lasers, 2014, 41 (9): 0909001.

[4] [4] Yin Wen, Li Yuanxiang, Zhou Zeming, et al.. Remote sensing image fusion based on sparse representation [J]. Acta Optica Sinica, 2013, 33(4): 0428003.

[5] [5] Xin Yanan Deng Lei. An improved remote sensing image fusion method based onwavelet transform [J]. Laser & Optoelectronics Progress, 2013, 50(2): 021001.

[6] [6] Y Wu, C Wu, S Wu. Fusion of multispectral image and panchromatic image based on NSCT and NMF [J]. Journal of Beijing Institute of Technology, 2012, 21(3): 415-420.

[7] [7] Wang Chaohui, Wang Jiaqi, Zhao Degong, et al.. Image fusion based on Shearlet and improved PCNN [J]. Laser & Infrared, 2012, 42(2): 213-216.

[8] [8] Miao Qiguang, Wang Baoshu. Multi-focus image fusion based on non-negative matrix factorization [J]. Acta Optica Sinica, 2005, 25(6): 755-759.

[9] [9] N Yokoya, T Yairi, A Iwasaki. Coupled nonnegative matrix factorization unmixing for hyperspectral and multispectral data fusion [J]. IEEE Trans Geosci Remote Sens, 2012, 50(2): 528-537.

[10] [10] An Zhenyu, Shi Zhenwei. Hyperspectral image fusion via sc-NMF [J]. Infrared and Laser Engineering, 2013, 42(10): 2718-2723.

[11] [11] Wang Zhongni, Yu Xian Chuan, Zhang Libao. A remote sensing image fusion algorithm based on non-negative matrix factorization [J]. Journal of Beijing Normal University (Natural Science), 2008, 44(4): 387-390.

[12] [12] Qu Xiaobo, Yan Jingwen, Xiao Hongzhi, et al.. Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain [J]. Acta Automatica Sinica, 2008, 34(12): 1508-1514.

[13] [13] G S El-Taweel, A K Helmy. Image fusion scheme based on modified dual pulse coupled neural network [J]. IET Image Processing, 2013, 7(5): 407-414.

[14] [14] Jiang Ping, Zhang Qiang, Li Jing, et al.. Fusion algorithm for infrared and visible image based on NSST and adaptive PCNN [J]. Laser & Infrared, 2014, 44(1): 108-113.

[15] [15] W W Kong, Y J Lei, Y Lei, et al.. Image fusion technique based on non-subsampled contourlet transform and adaptive unit-fastlinking pulse-coupled neural network [J]. IET Image Processing, 2011, 5(2): 113-121.

[16] [16] Li Xin′e, Ren Jianyue, Lü Zengming, et al.. Fusion method of multispectral and panchromatic images based on improved PCNN and region energy in NSCT domain [J]. Infrared and Laser Engineering, 2013, 42(11): 3096-3102.

[17] [17] Gao Tao，He Mingyi. Using improved non-negative matrix factorization with projected gradient for single-trial feature extraction[J]. Journal of Electronics & Information Technology，2010，32(5): 1121-1125.

[18] [18] C J Lin. Projected gradient methods for nonnegative matrix factorization[J]. Neural Computation, 2007, 19(10): 2756-2779.

[19] [19] Yang Yuetao, Zhu Ming, He Baigen, et al.. Fusion algorithm based on improved projected gradient NMF and NSCT [J]. Optics and Precision Engineering, 2011, 19(5): 1143-1150.