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《Geo-Information Science》 2007-04
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A New Fusion Algorithm Study for SAR and Optical Images Based on Wavelet Transform

GAO Wentao,WANG Xiaoqin,LING Feilong (Key Lab. of Data Mining & Information Sharing ( Fuzhou University),Ministry of Education,Spatial Information Research Center,Fuzhou University ,Fuzhou 350002)  
A new biorthogonal wavelet fusion algorithm was developed based on the absolute values of the difference of local area of the images. The algorithm was applied to the images of TM and JERS-1 SAR. The algorithm has stronger ability to describe the digital images' details and to compound the images' information than traditional wavelet fusion algorithms,and it needs less computation than those based on variance. It is a better way to preserve the spectral feature and detailed information than those algorithms of the PCA fusion,multiplicative fusion and Brovey fusion. The results of experiment show that the algorithm is highly flexible and practical.
【Fund】: 国家自然科学基金项目(40301039).
【CateGory Index】: P237
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