利用三维成像仪对所获取的稀疏激光采样点信息进行了城市人工建筑物提取的研究.首先根据激光点的高度相似性和距离相邻性可以分割出属于同一建筑物上的激光采样点,然后基于预测方向的方位角从同一建筑物上的激光点中分离出最靠近建筑物轮廓边缘上的激光采样点.对分离出的激光边界点依据建筑物的特点进行了边缘规格化处理.同时依据边缘点连线方向角的变化进行边界点的分组,再依据分组的边界点计算出建筑物的主方向.通过主方向对边界点组进行边缘规格化,最后得到建筑物最外侧边缘的轮廓

The 3D position of ground point can be precisely determined using airborne scanning laser ranging system. An algorithm for extracting man-made buildings from sparse sampled laser points acquired by airborne 3D imager is described. According to the height similarity and neighbor property of the laser sampled points belonging to the same building, the laser sampled points of the same building are clustered and segmented firstly. The boundary laser points near to the contour of the buildings are then separated based on the azimuth of laser points corresponding to the predicted heading. The separated boundary points are adjusted according to the character of man-made building, which usually forms a regular polygon. In regulating the edges of a building, the boundary points are grouped firstly based on the azimuth change. The main direction of the building is then calculated using the grouped points and least-square principle. According to the main direction and grouped boundary points, the regular edges of the building can be determined precisely. So the contour of the building can be extracted. Some buildings are successfully extracted using the algorithm and a test result is given.