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基于点云滤波的DOM自动生产算法
引用本文:白世晗,刘斌,白少云,顾世祥,邢宽平. 基于点云滤波的DOM自动生产算法[J]. 测绘通报, 2020, 0(2): 82. DOI: 10.13474/j.cnki.11-2246.2020.0049
作者姓名:白世晗  刘斌  白少云  顾世祥  邢宽平
作者单位:云南省水利水电勘测设计研究院, 云南 昆明 650021
基金项目:云南省院士工作站建设专项(2015IC013);云南省创新团队建设专项(2018HC024);国家高分辨率对地观测系统重大科技专项(89-Y40-G19-9001-18/20-03)
摘    要: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。

关 键 词:空三匹配  点云滤波  DEM  微分纠正  DOM  
收稿时间:2019-05-06
修稿时间:2019-06-24

DOM automatic production algorithm based on point cloud filter
BAI Shihan,LIU Bin,BAI Shaoyun,GU Shixiang,XING Kuanping. DOM automatic production algorithm based on point cloud filter[J]. Bulletin of Surveying and Mapping, 2020, 0(2): 82. DOI: 10.13474/j.cnki.11-2246.2020.0049
Authors:BAI Shihan  LIU Bin  BAI Shaoyun  GU Shixiang  XING Kuanping
Affiliation:Yunnan Survey and Design Institute of Water Conservancy and Hydropower, Kunming 650021, China
Abstract: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.
Keywords:match-AT  point cloud filtering  DEM  digital differential correction  DOM  
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