Coherent change detection of fine traces based on multi-angle SAR observations

作     者：KOU Xiuli WANG Guanyong LI Jun CHEN Jie KOU Xiuli;WANG Guanyong;LI Jun;CHEN Jie

作者机构：School of Electronics and Information EngineeringBeihang UniversityBeijing 100191China Beijing Institute of Radio MeasurementBeijing 100854China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2023年第34卷第1期

页      面：1-8页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：coherent change detection(CCD) multi-angle synthetic aperture radar(SAR) 

摘      要：Coherent change detection(CCD) is an effective method to detect subtle scene changes that occur between temporal synthetic aperture radar(SAR) observations. Most coherence estimators are obtained from a Hermitian product based on local statistics. Increasing the number of samples in the local window can improve the estimation bias, but cause the loss of the estimated images spatial resolution. The limitations of these estimators lead to unclear contour of the disturbed region, and even the omission of fine change targets. In this paper, a CCD approach is proposed to detect fine scene changes from multi-temporal and multi-angle SAR image pairs. Multi-angle CCD estimator can improve the contrast between the change target and the background clutter by jointly accumulating singleangle alternative estimator results without further loss of image resolution. The sensitivity of detection performance to image quantity and angle interval is analyzed. Theoretical analysis and experimental results verify the performance of the proposed algorithm.