介绍了利用“机载激光影像制图系统”获得的激光测距,飞机姿态和位置数据解算出的地面三维信息同光谱辐射信息高度融合,用于快速自动地提取城市建筑物边界及高度的方法,探讨了地物的分裂/合并算法、建筑物与树木的分离、边界提取中初始种子点的选择和灰度参考值及阈值的自适应调整,针对影像中建筑物的扭曲采用了二维/三维变换和曲线模板,针对边缘模糊、不连续和强噪声等采用了统计判决和取样模板等等。并利用呼和浩特市区数据进行了验证。

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.