Multi-source Remote-sensing Image Matching Based on Ratio-Gradient and Cross-Cumulative Residual Entropy
Xiao Wang · Wuhan Daxue xuebao. Xinxi kexue ban · 2009
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.