A PS processing framework for long-term and real-time GB-SAR monitoring

Cheng Hu, Yunkai Deng, Weiming Tian*, Jingyang Wang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

26 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)6298-6314
页数17
期刊International Journal of Remote Sensing
40
16
DOI
出版状态已出版 - 18 8月 2019

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