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《JOURNAL OF IMAGE AND GRAPHICS》 1997-Z1
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Data Fusion for Remote Sensing Imagery based on Feature

Li Jun Lin Zongjian (School of Geomatics, Wuhan Technical University of Surveying & Mapping,Wuhan 430070)  
This paper presents a new image fusion scheme based on multiresolution analysis of Wavelet theory for Remote Sensing imagery. An area-based maximum variance selection rule and a consistency detection are used for feature selection of subbands at different scale, and gray computation with weighting factor is accomplished for base-bands at the coarsest resolution. Experimental results including the fusion of black-white aerial imagery and Landsat(TM)imagery, Landsat and SAR images are presented in the paper. Compared with the pixel averaging method, the proposed scheme is more reliable and capable of adaptability.
【Fund】: 国防科工委资助 国家教委博士点基金
【CateGory Index】: TP75
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