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《Computer Knowledge and Technology》 2011-02
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Remote Sensing Image Fusion Based on Wavelet Transform Technique

YUAN Hua,ZHANG Wan-qiu(Southwest Forestry University,Kunming 650224,China)  
Remote sensing image based on wavelet transform fusion algorithm.This enhanced image quality for remote sensing,remote sensing images to improve resolution and clarity,based on wavelet transform image fusion is proposed based on wavelet transform image fusion algorithm.Will be read into the image wavelet transform decomposition,the decomposition of the high and low frequency coefficient matrix with an extended storage.In the fusion rules,for the low frequency components,using the weighted average method.High-frequency coefficients in the selection,based on the principle of absolute maximum.This remote sensing image experiments show that this method is superior to the traditional image fusion methods,effectively improved the rate of image resolution and clarity.
【Fund】: 西南林业大学森林经理学国家林业局重点学科资助(XKZ200901);; 云南省省级重点建设专业西南林业大学林学专业资助
【CateGory Index】: TP751
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