MODEL-DRIVEN 3D BUILDING RECONSTRUCTION BASED ON INTEGERATION OF DSM AND SPECTRAL INFORMATION OF SATELLITE IMAGES

Due to the recent improvements in satellite sensors and matching technology, the derivation of 3D models from space borne stereo data attached interests in various applications such as urban planning, telecommunication and tourism. Fully automatic 3D building reconstruction from space borne point cloud data is an active research topic, where the relatively low quality of Digital Surface Models (DSM) generated by stereo matching of satellite data comparing to LiDAR data. In order to establish an efficient method to achieve high quality models and complete automation from the mentioned DSM, a new method based on a model-driven strategy is proposed. For improving the results and better detection of building boundaries and corresponding ridgelines, footprints of the buildings and refined ortho-rectified panchromatic images are utilized as additional information. The presented results are promising, at least for larger buildings.