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Airborne LiDAR data and optical imagery are two datasets used for 3D building reconstruction. In this paper, thecomplementarities of these two datasets are utilized to perform a primitive-based 3D building reconstruction. The proposedmethod comprises following steps: (1) recognize primitives from LiDAR point cloud and roughly measure primitives' parametersas initial values, and (2) select primitives' features on the imagery, and (3) optimize primitives' parameters by the constraints ofLiDAR point cloud and imagery, and (4) represent 3D building model by these optimized primitives. Compared with other modelbasedor CSG-based methods, the proposed method is simpler. It only uses the most straightforward features, i.e. planes of LiDARpoint cloud and points of optical imagery. The experimental result shows this primitive-based method can accurately reconstruct3D building model. And it can tightly integrate LiDAR point cloud and optical imagery, that is to say, all primitives’ parametersare optimized with all constraints in one step

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

PRIMITIVE-BASED BUILDING RECONSTRUCTION BY INTEGRATION OF LIDAR DATA AND OPTICAL IMAGERY