Building change detection in a couple of optical and SAR high resolution images

A novel approach for building extraction in high resolution optical and SAR images and its application to building change detection are presented in this paper. The proposed object-based building extraction technique relies on an hypothesis generation-optimization-validation scheme, whose estimation and detection performances are characterized on Quickbird and TerraSAR-X semi-urban images. The introduced building extraction approach is then applied to building change detection in a pair of high resolution heterogeneous images.