A General and Effective Method for Wall and Protrusion Separation from Facade Point Clouds  

作　　者：Shangshu Cai Shuhang Zhang Wuming Zhang Hongchao Fan Jie Shao Guangjian Yan Sisi Yu Aiguang Li and Guoqing Zhou 

机构地区：[1]School of Geospatial Engineering and Science,Sun Yat-Sen University,Guangzhou,China [2]Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Guangdong,China [3]Department of Civil and Environmental Engineering,Norwegian University of Science and Technology,Trondheim,Norway [4]Faculty of Geographical Science,Beijing Normal University,Beijing,China [5]University of Chinese Academy of Sciences,Beijing,China [6]Guilin University of Technology,Guilin,China

出　　处：《Journal of Remote Sensing》2023年第1期296-309,共14页国际遥感学报（英文）

基　　金：supported by the National Natural Science Foundation of China,grant nos.41971380 and 41671414;supported by Guangxi Natural Science Fund for Innovation Research Team(grant no.2019JJF50001);the Open Fund of State Key Laboratory of Remote Sensing Science(grant no.OFSLRSS201920);leading talents of Guangdong Pearl River Talent Program(grant no.2021CX02S024).

摘　　要：As a critical prerequisite for semantic facade reconstruction,accurately separating wall and protrusion points from facade point clouds is required.The performance of traditional separation methods is severely limited by facade conditions,including wall shapes(e.g.,nonplanar walls),wall compositions(e.g.,walls composed of multiple noncoplanar point clusters),and protrusion structures(e.g.,protrusions without regularity,repetitive,or self-symmetric features).This study proposes a more widely applicable wall and protrusion separation method.The major principle underlying the proposed method is to transform the wall and protrusion separation problem as a ground filtering problem and to separate walls and protrusions using ground filtering methods,since the 2 problems can be solved using the same prior knowledge,that is,protrusions(nonground objects)protrude from walls(ground).After transformation problem,cloth simulation filter was used as an example to separate walls and protrusions in 8 facade point clouds with various characteristics.The proposed method was robust to the facade conditions,with a mean intersection over union of 90.7%,and had substantially higher accuracy compared with the traditional separation methods,including region growing-,random sample consensus-,multipass random sample consensus-based,and hybrid methods,with mean intersection over union values of 69.53%,49.52%,63.93%,and 47.07%,respectively.Besides,the proposed method was general,since existing ground filtering methods(including the maximum slope,progressive morphology,and progressive triangular irregular network densification filters)can also perform well.

关 键 词：walls SEPARATION UNION 

分 类 号：V24[航空宇航科学与技术—飞行器设计]