Analysis of high resolution polarimetric SAR in urban areas

Abstract

Parallel to the conventional (statistical, spectral) description of mixed urban classes for image segmentation, the description on the basis of cues and related spatial properties is used within the classification process. Recently we concentrate very much on strong model-based classification, which may lead to a classification not covering the whole area due to the implementation of insufficient models (class descriptions). Major interest is related to urban features like urban fabric, continuous urban fabric (dense, medium dense), discontinuous urban fabric (dense residential, sparse residential, residential blocks) as well as industrial areas.