Multispectral and panchromatic image fusion based on improved projected gradient NMF in NSST domain

Guangxue Xuebao/Acta Optica Sinica

Volumn 35, Issue 4, 2015, Pages

  Wu, Yiquan ^a,b,c,d,e   Tao, Feixiang ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b Yunnan Institute of Geological Environment Monitoring   (China)

^c ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

^d LANZHOU UNIVERSITY   (China)

^e EAST CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Image fusion; Image processing; Improved projected gradient non negative matrix factorization; Non subsampled shear let transform; Panchromatic and multispectral images; Pulse coupled neural network

Indexed keywords

FACE RECOGNITION; FACTORIZATION; GRAPHIC METHODS; IMAGE ENHANCEMENT; IMAGE PROCESSING; INVERSE PROBLEMS; MATRIX ALGEBRA; NEURAL NETWORKS; SPECTROSCOPY;

INTENSITY HUE SATURATIONS; LOW FREQUENCY IMAGES; MULTISPECTRAL IMAGES; NON SUBSAMPLED CONTOURLET TRANSFORM (NSCT); NONNEGATIVE MATRIX FACTORIZATION; PULSE COUPLED NEURAL NETWORK; SPATIAL INFORMATIONS; SPECTRAL INFORMATION;

IMAGE FUSION;

EID: 84930359314     PISSN: 02532239     EISSN: None     Source Type: Journal    
DOI: 10.3788/AOS201535.0410005     Document Type: Article

References (19)

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 PCA [J]. Acta Optica Sinica, 2014, 34(10): 1010001.
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. 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. Xin Yanan Deng Lei. An improved remote sensing image fusion method based onwavelet transform [J]. Laser & Optoelectronics Progress, 2013, 50(2): 021001.
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. 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. Miao Qiguang, Wang Baoshu. Multi-focus image fusion based on non-negative matrix factorization [J]. Acta Optica Sinica, 2005, 25 (6): 755-759.
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. An Zhenyu, Shi Zhenwei. Hyperspectral image fusion via sc-NMF [J]. Infrared and Laser Engineering, 2013, 42(10): 2718-2723.
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. 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. 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. 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. 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. 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. 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. C J Lin. Projected gradient methods for nonnegative matrix factorization[J]. Neural Computation, 2007, 19(10): 2756-2779.
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.