[1] Wang Zhijun，Ziou Djemel，Armenakis Costas，et al. A Comparative Analysis of Image Fusion Methods [J]. IEEE Transactions on Geoscience and Remote Sensing(S0196-2892)，2005，43(6): 1391-1402.

[2] DOU Wen. Research on the Universal Theoretical Framework for Multi-source Remotely Sensed Data [D]. Beijing：Beijing Normal University，2006.

[3] Dou Wen，Chen Yunhao，Li Xiaobing，et al. A General Framework for Component Substitution Image Fusion: An Implementation using the Fast Image Fusion Method [J]. Computers & Geosciences(S0098-3004)，2007，33(2): 219–228.

[4] Ling Yong，Ehlers M，Usery E L，et al. Effects of Spatial Resolution Ratio in Image Fusion [J]. International Journal of Remote Sensing(S0143-1161)，2008，29(7)：2157–2167.

[5] ENVI V4.5 Functional Summary [EB/OL]. [2008-8-18]. http://www.ittvis.com/portals/0/pdfs/envi/ENVI45_FuncSumm.pdf.

[6] Alparone Luciano，Aiazzi Bruno，Baronti Stefano，et al. Spectral Information Extraction from Very-High Resolution Images through Multiresolution Fusion [J]. Proceedings of the SPIE(S0277-786X)，2004，5573：1-8.

[7] Aiazzi B，Alparone L，Baronti S，et al. Spectral Information Extraction by Means of Ms+Pan Fusion [C/CD]// Proceedings of ESA-EUSC 2004 - Theory and Applications of Knowledge-Driven Image Information Mining with Focus on Earth Observation (ESA SP-553), Madrid, Spain, 2004