JIANG Wanshou, PENG Fangyuan, YUE Chunyu, WANG Xiao. Multi-source Remote-sensing Image Matching Based on Ratio-Gradient and Cross-Cumulative Residual Entropy[J]. Geomatics and Information Science of Wuhan University, 2009, 34(9): 1047-1050.
Citation: JIANG Wanshou, PENG Fangyuan, YUE Chunyu, WANG Xiao. Multi-source Remote-sensing Image Matching Based on Ratio-Gradient and Cross-Cumulative Residual Entropy[J]. Geomatics and Information Science of Wuhan University, 2009, 34(9): 1047-1050.
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Multi-source Remote-sensing Image Matching Based on Ratio-Gradient and Cross-Cumulative Residual Entropy

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  • A novel algorithm of matching synthetic aperture radar(SAR) image to optical image and SAR got by different sensor based on ratio-gradient and cross-cumulative residual entropy is proposed.As for this algorithm,ratio-gradient is proposed to contrapose low SNR and multiplicative noise of SAR image.In addition,Ratio-Gradient is applicable for optical image.Then cross-cumulative residual entropy is used as a similarity measure based on gradient image.Cross-cumulative residual entropy substitutes living-function for density-function to overcome noise.
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