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机载LIDAR数据量庞大,其中包含了大量的冗余信息,这些信息占用了大量的存储空间,给LIDAR数据的应用和传输带来不便。本文针对此,提出了距离—梯度简化算法,试验结果表明,该算法能很好控制点云的简化程度,最大限度地删除点云中的冗余信息,自适应地保留地形特征信息,从而为点云的可视化、网络传输及其应用提供参考。
Airborne LIDAR has a large amount of data, which contains a large amount of redundant information, which occupies a large amount of storage space and brings inconvenience to the application and transmission of LIDAR data. In view of this, this paper proposes a distance-gradient simplification algorithm. The experimental results show that this algorithm can control the simplification of point cloud well, remove the redundant information in point cloud to the maximum extent and reserve the topographic feature information adaptively, Point cloud visualization, network transmission and its application.