Coherence Change Analysis for Multipass Insar Images Based on the Change Detection Matrix

Abstract

IEEEThis paper presents an approach for Interferometric Synthetic Aperture Radar (InSAR) coherence change analysis. This approach is based on the Change Detection Matrix (CDM) which allows the identification of the presence of changes on the ground. Coherence images are first computed from InSAR image time series (ITS) between each two adjacent dates. The CDM approach is then applied to study the obtained coherence time series with patch-wise analysis. The preliminary results on damage mapping related to the tsunami induced by the eruption of Krakatoa volcano, Sunda Strait, Indonesia on December 22, 2018 using Sentinel-1 InSAR ITS have shown the relevancy of the proposed approach.