High resolution optical and sar image fusion for road database updating
This paper addresses the issue of cartographic database creation or updating using high resolution SAR and optical images. It proposes a processing chain to create or update road databases in urban environment. The approach is composed of two steps. First, if a database is available, the presence of each database object is checked in the images. Then, we verify if road hypotheses extracted from images should be included in the database. These two steps are conducted by extracting relevant features from the images in the neighborhood of the considered object. The object removal/inclusion in the database is based on a score obtained by the fusion of features in the framework of Dempster-Shafer evidence theory.