This paper presents a scheme for building detection and building reconstruction from LIDAR data and optical imagery. The proposed scheme comprises two major parts: (1) detection of building regions, and (2) reconstruction of building models. Spatial registration of LIDAR data and optical images is performed as data preprocessing. Then, at the first stage, a region-based segmentation and knowledge-based classification are integrated to detect building regions. Once the building regions are detected, we analyze the coplanarity of the LIDAR raw data to shape the roof. The accurate position of walls of the building is determined by the integration of the edges extracted from optical imagery. Thus the three dimensional building edges can be used for the reconstruction. A patented method SMS (Split-Merge-Shape) is employed to generated building models in the last step. Having the advantages of high reliability and flexibility, the SMS method provides stable reconstruction even when those 3D building lines are broken. LIDAR data acquired by Leica ALS 40, QuickBird multispectral satellite images and aerial images were used in the validation.
|Journal||International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives|
|State||Published - 1 Jan 2004|
|Event||20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey|
Duration: 12 Jul 2004 → 23 Jul 2004