Distributed Scatterers Selection Combined With Geomorphy for InSAR Deformation Monitoring in Complicated Surface
J. L. Long, Qiming Zeng, Zhiliang Zhang, Ligong Yang
Abstract
Distributed scatterers interferometric synthetic aperture radar (DS-InSAR) has been widely used in measuring non-urban area displacement. However, the process of identifying homogeneous pixels (HPs) through hypothesis testing is often time-consuming, and the results may not provide sufficiently consistent signals for phase reconstruction. This letter proposed a method to identify geomorphic statistical homogeneous pixels (GSHPs) by introducing land cover types and terrain features as constraint condition. Water, shadow and layover area are masked off. And the land cover types, slope and aspect are used for HPs test. GSHPs is tested in the Three Gorges Dam Reservoir Area and the Three Parallel Rivers of Yunnan in China using Sentinel-1 data (2020-2022). The results show that GSHPs method saves 23% identification time and improves the consistency of HPs signal compared to classical SHPs. Several reported landslides’ activities are successfully detected by GSHPs.