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基于地形特征的点云自适应坡度滤波及DEM构建

程烺 王义昌

智能城市2026,Vol.12Issue(1):80-83,4.
智能城市2026,Vol.12Issue(1):80-83,4.DOI:10.19301/j.cnki.zncs.2026.01.016

基于地形特征的点云自适应坡度滤波及DEM构建

Adaptive slope filtering and DEM construction of point cloud based on terrain features

程烺 1王义昌1

作者信息

  • 1. 常州市测绘院,江苏 常州 213000
  • 折叠

摘要

Abstract

To improve the accuracy and efficiency of point cloud filtering and digital elevation model(DEM)construction in complex terrains,this paper proposes an adaptive slope filtering algorithm based on terrain features.This method dynamically adjusts grid size and slope thresholds according to terrain slope characteristics,achieving effective separation of ground and non-ground points in airborne point clouds,and uses the filtered point cloud to construct DEMs and contour maps.Experimental results show that the filtering accuracy of the algorithm reaches 92.7%,and the root mean square error of the constructed DEM elevation is 0.061 m,meeting the accuracy requirements for practical engineering applications,which validates its effectiveness and reliability in complex mountainous terrains.

关键词

点云/自适应坡度/山区地形/数字高程模型/精度分析

Key words

point cloud/adaptive slope/mountainous terrain/digital elevation model/precision analysis

分类

天文与地球科学

引用本文复制引用

程烺,王义昌..基于地形特征的点云自适应坡度滤波及DEM构建[J].智能城市,2026,12(1):80-83,4.

智能城市

2096-1936

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