关键词: 机载LiDAR, 扫描角, 航带重叠区, 时间直方图, 建筑物

Abstract: Aerial LiDAR system can get high intensive point clouds of the earth’s surface, yet also present large redundant point clouds especially in the overlapping trips area. It proposes a novel GPS time value histogram-based method for removing those redundant point clouds without track information. The method is impletmented through the three steps at below. The GPS time value histogram of the point clouds is established and consequently the bounding rectangles of strip overlapping area and overlapping point clouds in the bounding rectangles are obtained. The building points in the bounding rectangles are extracted by using some classical filtering algorithms and separately stored due to its benefit for building reconstruction. The remaining point clouds are organized as grids and the redundant point clouds in each grid are removed according to the GPS time value histogram. The experimental results show that the method on one hand can quickly and efficiently remove the redundant point clouds in the overlapping area without track information, on the other hand can better preserve the building points to improve the efficiency of subsequent data analysis and applications.

Key words: airborne LiDAR, scan angle, strip overlapping area, time histogram, buildings