Time sequence PolSAR image unsupervised change detection method considering statistical characteristics

• Main Authors: NIU YUFEN, ZHAO LINGLI, CHANG YONGLEI, LI PINGXIANG, ZHAO JINQI, YANG JIE, CHEN AO
• Format: Patent
• Language: Chinese; English
• Published: 17.07.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention provides a timing sequence full-polarization synthetic aperture radar image unsupervised change detection method considering statistical characteristics, and mainly solves the problems of insufficient polarization information utilization and underfitting of differential image probability statistical distribution in an existing method. According to the method, rich spatio-temporal information provided by long-time sequence PolSAR images is fully utilized, comprehensive test statistics and an improved minimum error threshold selection method are combined, and ground object change detection information of a research area is extracted. All parameters can be automatically acquired, the execution speed is high, rich space-time information of a time sequence PolSAR image can be fully utilized, and a change detection result is efficiently and accurately acquired. Meanwhile, the method is not only suitable for time sequence PolSAR image change detection, but also can be well applied to change detection o