Multi-source remote-sensing image matching based on ratio-gradient and cross-cumulative residual entropy

被引：0
|
作者：
Jiang, Wanshou [1 ]
Peng, Fangyuan [1 ]
Yue, Chunyu [1 ]
Wang, Xiao [1 ]
机构：
[1] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University | 2009年 / 34卷 / 09期
关键词：
Optical remote sensing - Radar imaging - Signal to noise ratio - Synthetic aperture radar - Geometrical optics - Entropy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1047 / 1050
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