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Building outline extraction using adaptive tracing alpha shapes and contextual topological optimization from airborne LiDAR

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成果类型:
期刊论文
作者:
Liu, Ke;Ma, Hongchao;Zhang, Liang;Gao, Lu;Xiang, Shitao;...
通讯作者:
Ma, HC
作者机构:
[Gao, Lu; Miao, Qing; Xiang, Shitao; Liu, Ke; Chen, Dachang] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430048, Peoples R China.
[Ma, Hongchao; Ma, HC] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.
[Zhang, Liang] Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Peoples R China.
通讯机构:
[Ma, HC ] W
Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
LiDAR;Boundary point extraction;Outline extraction;Dominant direction detection;Contextual topological optimization
期刊:
Automation in Construction
ISSN:
0926-5805
年:
2024
卷:
160
页码:
105321
基金类别:
CRediT authorship contribution statement Ke Liu: Conceptualization, Data curation, Formal analysis, acquisition, Investigation, Methodology, Validation, Writing – original draft. Hongchao Ma: Conceptualization, acquisition, Software, Supervision, Writing – review & editing. Liang Zhang: Data curation, Formal analysis, Software. Lu Gao: Data curation, Validation. Shitao Xiang: Data curation, Validation. Dachang Chen: Data curation, Validation. Qing Miao: Data curation, Validation.
机构署名:
本校为第一机构
院系归属:
电气与电子工程学院
摘要:
It is challenging to extract satisfactory building outlines from LiDAR data due to the unorganized point cloud and complex building shapes. To solve the issues, a method using adaptive tracing alpha shapes (ATAS) and contextual topological optimization is proposed. First, the ATAS method is used to extract sequential boundary points. After that, a method based on point cloud distribution analysis is developed to obtain building dominant directions and line segments of outlines. Finally, regularized outlines are obtained by adjusting all line segments simultaneously under the framework of globa...

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