机载 LiDAR生成DEM的一些关键问题评述

提取DEM是机载LiDAR技术应用研究关键内容之一,从LiDAR数据滤波、DEM模型选择、内插、误差控制和数据压缩等几个方面,分析当前利用机载激光雷达数据提取DEM的主要研究进展.着重讨论插值滤波、倾角滤波和形态学滤波算法,定量分析滤波算法的性能；分析比较确定性内插方法和地学统计内插方法,并指出内插方法在提高精度同时也要考虑稳定性和序同构性；论述DEM格网压缩和三角网压缩方法,并指出在满足地形可视化需要的同时提高压缩效率；并进行了总结展望,为相关研究提供参考.

Some Critical Issues Review of LiDAR for DEM Generation

DEM extraction is one of the key research content about airborne LiDAR technology application. The author analyzed the current use of airborne LiDAR data to extract the DEM study progress from filtering, DEM model selection, interpolation, error control and data compression, and discussed interpolation filtering, slope filtering and morphological filtering algorithms, quantitatively analyzed the performance of the filtering algorithm; simultaneously compared the determining methods and geoscience statistical interpolation method, pointed out that improved the interpolation method accuracy taking into account the stability and order isomorphism; and discussed the DEM grid and triangulation compression method and indicated the need to meet the visualization of the terrain at the same time, improve the compression efficiency. In addition, prospect was also given to provide references for future research.