A PS processing framework for long-term and real-time GB-SAR monitoring. Issue 16 (18th August 2019)

• Record Type: Journal Article
• Authors: Hu, Cheng; Deng, Yunkai; Tian, Weiming; Wang, Jingyang
• Is Part Of: International journal of remote sensing. Volume 40:Issue 16(2019)
• Page Start: 6298
• Page End: 6314
• Publication Date: 2019-08-18
• Subjects: Remote sensing -- Periodicals; Télédétection -- Périodiques; 621.3678
• DOI: 10.1080/01431161.2019.1590876
• Languages: English
• ISSNs: 0143-1161

Abstract

ABSTRACT: Based on the permanent scatterer (PS) technique, deformation measurements were taken in ground-based synthetic aperture radar (GB-SAR) applications. To realize long-term and real-time deformation monitoring, a PS processing framework is proposed. Firstly, a group selection framework is introduced. A certain number of GB-SAR images are selected as a group and different PS sets are selected. Secondly, a fluctuation factor is defined to detect abnormal images. Some images with abnormal amplitude information should not be used for deformation analysis. Thirdly, an adaptive threshold determination method to select the PSs is proposed. The PS numbers in different PS sets can be highly stable. Lastly, a real-time processing framework is introduced which can be applied for on-site monitoring. The proposed processing framework was also used to monitor an open-pit mine for about 11 days. Experimental results validated the effectiveness and reliability of the framework for long-term and real-time GB-SAR monitoring.