Automatic Building Extraction from Airborne Scanning Image Based on Laser Ranging
基于激光测距的航空扫描影像中建筑物的自动提取

This paper introduces a fast automatic building extraction method by the fusion of spectral information and three dimensional information acquired by "Airborne Laser Image Mapping System", which integrates the image scanner, laser scanner, inertial navigating system and global positioning system. This method involves the breaking and merging algorithm of laser ranging points, the separation of buildings and trees, the selection of initial seeds, the self adjustment of the spectral reference and threshold in region growing, and the reconstruction of whole building contour with edges of high reliability. To overcome the distortions of airborne scanning image, we extensively used two dimension/three dimension transformations and the concept of curve template. To deal with the blurring and brokeness of edges and strong noise, we applied a statistical decision algorithm and a sampling template. This method is experimented on the data of City Huhehaote.