Abstract
Synthetic Aperture Radar (SAR) image change detection enables mapping for applications such as human activity monitoring and urban studies. In this work we analyze the use of adaptive range processing and multisquint processing for change detection purposes. Numerical evaluation showed that both processing methods can reduce errors caused by image artifacts while preserving detection rates similar to those offered by the corresponding matched filtering and single-look processing. When changes were caused by isotropic targets, best results were obtained when combining range adaptive and multisquint processing.