针对不同地形点云数据采用不同的滤波和格网插值方法提取地面信息,得到了良好的滤波插值效果,为后续地表下沉盆地获取等工作提供了优质的基础数据.对于不同的点云数据,文中分别进行了针对性的处理.对地表平坦且植被稀少的点云数据,采取高程最低点采样并替代格网高程值的方法；对地物和植被杂乱的点云数据,采用基于先验高程信息滤波与Kriging格网插值相结合的方法；而对于地形起伏较大的点云数据则采用渐点加密TIN滤波与Kriging格网插值相结合的方法,最终得到高质量的基础数据并应用于工程实际.%To deal with various topographical situations,this paper extracts terrain information with different filter and interpolation methods and got good effect. This provides basic high quality data for the following analysis of surface subsidence basin. According to different point clouds, different processing should be adopted. For points with plain surface and rare vegetation, we used lowest-point-resampling and replaced the elevation of grids with the resample points within them. For points with messy fetures and vegetation,we took filter method based on priori elevation and interpolated elevation of grids with Kriging interpolation. For points with steep topography, we combined filter based on adaptive TIN filter and Kriging Interpolation. Finally,we got basic data with high quality and applied them to engineering application.
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