DOM automatic production algorithm based on point cloud filter

doi:10.13474/j.cnki.11-2246.2020.0049

Abstract

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.

Key words: match-AT, point cloud filtering, DEM, digital differential correction, DOM

CLC Number:

P208

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): 82-85,101.

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