Identification of Amplitude’s Anomalies in Multi-Temporal SAR Datasets Using Statistical Analysis

Synthetic Aperture Radar (SAR) systems are vastly popular tools from the remote sensing domain. Advanced processing techniques exploit multi-acquisition datasets, being able to precisely estimate various parameters of the scenes, like elevation and linear deformation rates. An important class of methods is based on the identification of Persistent Scatterers. However, the detection process and the further processing steps can be affected by the amplitude’s anomalies. The objective of the paper is to present a method to identify such anomalies, based on statistics like contrast and entropy. A method to reduce the magnitude of the anomalies is also proposed.