New Approach for Improving Mutual Information in POLSAR Image Registration

摘要：

Aiming at the problem that information source of similarity measure is limited to image intensity usually in multipolarization SAR registration, we propose an improved Mutual Information(MI) based on the multiple correlation information between the same polarized channels (HH,VV) in multipolarization SAR images. In this method, by analyzing the correlation characteristics of three polarized channels in multipolarization SAR, and using channel correlation information extracted from polarimetric covariance matrix, we compute MI in multi-polarization SAR to improve the similarity measure. Finally, the simulation results show that, in the multipolarization SAR image registration, similarity measure information sources affect the performance of similarity measure. We compare the similarity measures with different information sources in curve sharpness and noise immunity. The results prove that the measure based on the correlation of the same polarized channels for multi-polarization SAR performs excellently.

关键词： multi-polarization SAR similarity measure information source.. mutual information

作者: Xuan Yanyan Huang Yulin Yang Jianyu

作者单位: School of Electronic Engineering, University of Electronic Science and Technology of China Chengdu, Sichuan, 610054, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 853-856

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）