The Automatic Judgment for SAR Change detection

摘要：

An automatic judgment algorithm based on the autocorrelation coefficient is proposed to solve the problem of targets arrival or departure after change detection.By building probability distribution model of the polarization vectors in the two SAR images,estimating the autocorrelation coefficient of the current and neighboring sliding window in the extent around change part respectively.Comparing the coherence property,we can distinguish the arrival or departure of the change.Comparing to current algorithm based on the covariance,the algorithm in this paper exploits the autocorrelation coefficient to indicate the coherence property. This algorithm improves the accuracy and robustness of distinguish the arrival or departure. At last,by simulating,we proved the validity of this algorithm.

关键词： synthetic aperture radar polarimetric SAR change detection Mazimum 5 keywords placed after the abstract

作者: Xiaoyan Zeng Yulin.Huang Jianyu Yang

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

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 510-513

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）