基于点云滤波的DOM自动生产算法

针对目前生产高精度DOM生成效率低、人工编辑干预较大等现状，提出了一种基于点云滤波的DOM自动生产方式。该方法通过对空三解算后的影像匹配密集点云DSM，使用基于TIN的加密滤波方式进行滤波计算，解决了滤波后空洞区域插值问题，制作出满足微分纠正需求的DEM模型，并基于该模型进行微分纠正生成DOM成果。通过选取ISPRS城区试验数据和实际工程山区数据进行验证，证明该算法不仅提高了效率，同时优化了成果质量，DOM成果精度符合规范要求。

DOM automatic production algorithm based on point cloud filter

This paper proposes a DOM automatic production method based on point cloud filtering to solve the current low-precision DOM generation efficiency and manual editing intervention.This method uses TIN-based encryption filtering to filter the dense point cloud DSM, and solves the problem of interpolation in the void area after filtering. A DEM model is made to meet the demand of differential correction. Finally, DOM results are generated by differential correction based on this model. The ISPRS urban experimental data and the actual engineering mountain data were selected for experimental analysis. This method improved the generation efficiency, optimized the quality of the results, and the accuracy of DOM results met the requirements of the specification.