基于改进布料模拟滤波算法的施工场地倾斜摄影点云地面提取

doi:10.13474/j.cnki.11-2246.2023.0300

测绘通报 ›› 2023, Vol. 0 ›› Issue (10): 85-90,110.doi: 10.13474/j.cnki.11-2246.2023.0300

基于改进布料模拟滤波算法的施工场地倾斜摄影点云地面提取

王鹏, 辛佩康, 刘寅, 余芳强

上海建工四建集团有限公司工程研究院, 上海 201103

收稿日期:2023-01-11 发布日期:2023-10-28
通讯作者: 辛佩康。E-mail:2285037917@qq.com
作者简介:王鹏(1999-),男,助理工程师,主要研究方向为智能建造与数字测绘。E-mail:Biste.Wang@outlook.com
基金资助:
上海市青年科技英才扬帆计划(22YF1418500)

Ground extraction of oblique photography point cloud in construction site based on improved cloth simulation filtering algorithm

WANG Peng, XIN Peikang, LIU Yin, YU Fangqiang

Engineering Research Institute, Shanghai Construction No. 4 (Group) Co., Ltd., Shanghai 201103, China

Received:2023-01-11 Published:2023-10-28

摘要/Abstract

摘要： 施工场地倾斜摄影点云中包含大量非地面点,需采取合适的算法对点云进行分类滤波。现有滤波算法大多是针对激光点云设计的,普遍具有参数设置复杂、地形自适应性差等缺陷。本文以布料模拟滤波算法为基础,提出了一种结合目标检测和地势分析的倾斜摄影点云改进布料模拟滤波算法,实现了复杂场景下倾斜摄影点云的自动滤波和地面提取,并以深圳市某施工场地为例展开试验。结果表明,本文算法的Ⅰ、Ⅱ类误差和总误差较常规算法显著降低,分别为1.11%、6.36%和2.39%,且Kappa系数达93.45%,有效提高了施工场地倾斜摄影点云地面提取的精度和稳定性。

关键词: 倾斜摄影点云, 改进布料模拟滤波, 目标检测, 地势分析, 施工场地

Abstract: There are a large number of non-ground points in the origin oblique photography point cloud of the construction site. Therefore, it is necessary to adopt appropriate algorithms to filter the non-ground points and extract the ground points. Most of existing filtering algorithms are designed for LiDAR point clouds, and generally have defects like complex parameter settings and poor terrain adaptability. On the basis of cloth simulation filtering (CSF) algorithm, this paper proposes an improved CSF algorithm combining target detection algorithm and terrain analysis method for oblique photography point clouds,implements automatic filtering and ground extraction of oblique photography point clouds in complex scenes.Taking a construction site in Shenzhen as an example, the experimental results show that the type Ⅰ, type Ⅱ error and total error of the improved algorithm proposed in this paper are significantly lower than those of the conventional algorithm, which are 1.11%, 6.36% and 2.39% respectively,and the Kappa coefficient reaches 93.45%,which effectively improves the precision and robustness of the ground extraction of oblique photography point clouds in the construction site.

Key words: oblique photography point cloud, improved cloth simulation filtering algorithm, target detection, terrain analysis, construction site

中图分类号:

王鹏, 辛佩康, 刘寅, 余芳强. 基于改进布料模拟滤波算法的施工场地倾斜摄影点云地面提取[J]. 测绘通报, 2023, 0(10): 85-90,110.

WANG Peng, XIN Peikang, LIU Yin, YU Fangqiang. Ground extraction of oblique photography point cloud in construction site based on improved cloth simulation filtering algorithm[J]. Bulletin of Surveying and Mapping, 2023, 0(10): 85-90,110.

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基于改进布料模拟滤波算法的施工场地倾斜摄影点云地面提取

Ground extraction of oblique photography point cloud in construction site based on improved cloth simulation filtering algorithm

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