北京测绘2025,Vol.39Issue(4):573-580,8.DOI:10.19580/j.cnki.1007-3000.2025.04.028
自适应双边布料模拟滤波用于建筑物立面提取
Adaptive bilateral cloth simulation filtering for building facade extraction
潘凯能1
作者信息
- 1. 江西省地质局地理信息工程大队,江西 南昌 330001
- 折叠
摘要
Abstract
Extracting detailed building facade data from point clouds is a prerequisite for calculating building engineering measurement parameters.Cloth simulation filtering(CSF)is a simple and efficient filtering method.To address the issue of complex CSF parameter settings and the inability to effectively extract all facade points,this paper proposed an adaptive bilateral cloth simulation filtering(AB-CSF)method.Based on the calculation of the normal vectors of the facade point cloud,two mutually moving simulated cloths were set up.Using the results from coarse filtering,a quadtree was constructed layer by layer,obtaining the terminal child nodes with larger elevation differences.The Kruskal-Wallis test was employed to evaluate the similarity between the terminal child nodes and ideal nodes,and the parameters for each node were automatically set based on the Chi-square test value.Experimental results on multiple datasets show that the proposed algorithm achieves smaller Type I errors and overall errors,with a simple and reliable implementation,high robustness,and significantly improved building facade point cloud extraction accuracy within an acceptable time frame.关键词
布料模拟滤波(CSF)/自适应参数/立面提取/建筑物点云Key words
cloth simulation filtering(CSF)/adaptive parameter/facade extraction/building point cloud分类
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潘凯能..自适应双边布料模拟滤波用于建筑物立面提取[J].北京测绘,2025,39(4):573-580,8.