[1] Liu Xianhong. Study of Multisensor Image Fusion Algorithms[D]. Xi’an:Xidian University,2006
[2] Yu Wenxian,Yong Shaowei,Guo Guirong. Commentary of data fusion for multisensor[J]. J. National University of Defense Technology,1994,16(3):1-11
[3] Jia Yonghong. Study of Data Fusion for Multisensor[D]. Wuhan:Wuhan University,2001
[4] Zhu Long,Zhang Zhanmu. Image Acquiring and Analysis for Multisensor[M].Beijing:Science Press,2000
[6] Xu Hanqiu.Study on data fusion and classification of landsat 7 ETM+imagery[J]. J. Remote Sensing,2005,9(2):187-194
[7] Hou Jianhua,Xiong Chengyi,Yu Shenghui. Multi-resolution image fusion based on deature of local wavelet energy[J]. J. South-Central University for Nationalities,2006,(2):47-50
[8] Candes E. j.,Donoho D. L.. Curvelets-A surprisingly effective non-adaptive representation for objiets with edges[C]. Nashville:Vanderbilt University Press,2000.105-120
[9] E. J. Candes,L. Demanet,D. L. Donoho et al.. Fast discrete curvelet transforms[J]. Multiscale Model. Simul.,2006,5(3):862-899
[10] Li Cunjun,Liu Liangyun,Wang Jihua et al.. Comparison of two methods of fusing remote sensing images with fidelity of spectral information[J]. J. Image Graphics,2004,9(11):1376-1385
[11] Ye Baojun,Xi Shijin,Wu Junqi et al.. Integrated technique for IKONOS image fusion combining IHS transformati on and wavelet transformation algorithms[J]. Jiangxi Science,2005,23(2):154-158
[12] Li Guangxin,Wang Ke. Color image fusion algorithm using the contourlet transform[J]. Acta Electronica Sinica,2007,35(1):112-117
[14] Liu Kun. Regional feature self-adaptive image fusion algorithm based on contourlet transform[J]. Acta Optica Sinica,2008,28(4):682-686