An Improved Method for Power-Line Reconstruction from Point Cloud Data

Remote Sensing

Bo Guo¹  Qingquan Li¹  Xianfeng Huang²  Chisheng Wang¹  Juha Hyyppä³ 

[1] Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Nanhai Road 3688, Shenzhen 518060, China;The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China;;Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Nanhai Road 3688, Shenzhen 518060, China

关键词: airborne laser scanning;    power-line span;    pylon;    reconstruction;   

DOI  :  10.3390/rs8010036

来源: mdpi

【 摘 要 】

This paper presents a robust algorithm to reconstruct power-lines using ALS technology. Point cloud data are automatically classified into five target classes before reconstruction. In order to improve upon the defaults of only using the local shape properties of a single power-line span in traditional methods, the distribution properties of power-line group between two neighbor pylons and contextual information of related pylon objects are used to improve the reconstruction results. First, the distribution properties of power-line sets are detected using a similarity detection method. Based on the probability of neighbor points belonging to the same span, a RANSAC rule based algorithm is then introduced to reconstruct power-lines through two important advancements: reliable initial parameters fitting and efficient candidate sample detection. Our experiments indicate that the proposed method is effective for reconstruction of power-lines from complex scenarios.

【 授权许可】

CC BY   
© 2016 by the authors; licensee MDPI, Basel, Switzerland.