Building Detection from High-Resolution Satellite Image Using Probability Model

Abstract—This paper proposes a probability model and efficient scheme to extract buildings object from high-resolution panchromatic image in dense urban area. The overall idea of this work is to segment the image into regions, to treat all extracted regions ’ contours as candidates, and to make use of specific probability model to select ‘true ’ buildings. Discriminative features that characterize buildings are proposed. Application is performed on Quickbird images over Beijing city. Keywords- High resolution satellite images; Building detection, Probability model, Contour, object recognition