Abstract:
Distributed scatterers interferometric synthetic aperture radar (DSs-InSAR) has been widely used in measuring nonurban area displacement. However, the process of identify...Show MoreMetadata
Abstract:
Distributed scatterers interferometric synthetic aperture radar (DSs-InSAR) has been widely used in measuring nonurban 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 HPs (GSHPs) by introducing land cover types and terrain features as constraint conditions. Water, shadow, and layover areas are masked off. The land cover types, slope, and aspect are used for the HPs test. GSHPs are tested in the Three Gorges Dam (TGD) Reservoir Area and the Three Parallel Rivers (TPRs) of Yunnan in China using Sentinel-1 data (2020-2022). The results show that the 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.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 20)