Detection of Information Change on SAR images based on entropy theory

摘要：

A novel Information change detection method for SAR images processing was proposed, which is based on the entropy theory. The entropy image is an alternative image for Information change detection comparing with the coherence map. The entropy is calculated pixel by pixel using a linear combination of the images crosscovariance matrix eigenvalues. The relationship between the entropy and coherence images was discussed. The results show that the entropy method provides a better performance than the coherence map in high coherence areas. The entropy estimation is also shown to be more details than the coherence estimation with small estimation windows. The performance of the new method is evaluated by processing real SAR images from Nanjing city in China.

作者: M. He X. F. He H. B. Luo

作者单位: Institute of Satellite Navigation & Spatial Information System Hohai University,Nanjing,Jiangsu,210098

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）