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一种基于无人机LiDAR点云的山区输电线提取算法 被引量:1

A mountain power line extraction algorithm based on UAV LiDAR point cloud
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摘要 基于三维海量无组织无人机LiDAR点云,针对山区输电线到周围场景高差变化大、输电线倾角大等特点,提出一种由粗到精的输电线提取算法.试验结果表明,该算法提取山区输电线准确率高、适用性强. The UAV LiDAR has the characteristics of convenient take-off and landing,low operating cost.UAV LiDAR point cloud can be measured directly.UAV LiDAR has become an important remote sensing device for power line inspection in mountain areas.Based on the three-dimensional massive and unstructured UAV LiDAR point cloud,a coarse-to-fine power line extraction algorithm is proposed.The algorithm can handle the situation for the characteristics of large variation of the height from power line to the surrounding scene and large dip angle of the power line in mountainous areas.The experiment proves that the algorithm extracts mountain power lines with high accuracy and applicability.
作者 李振 邵达扬 黄亮 LI Zhen;SHAO Dayang;HUANG Liang(School of Hydraulic,Energy&Power Engineering,Yangzhou University,Yangzhou 225009,China;Jiangsu Province Surveying and Mapping Engineering Institute,Nanjing 210013,China)
出处 《扬州大学学报(自然科学版)》 CAS 北大核心 2020年第5期34-38,共5页 Journal of Yangzhou University:Natural Science Edition
基金 国家自然科学基金资助项目(41601488) 江苏省自然科学基金资助项目(BK20160469).
关键词 无人机LiDAR 点云 山区 输电线 提取 UAV LiDAR point cloud mountain areas power line extraction
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  • 1张吴明,阎广建,李巧枝,赵伟.直升机电力巡线系统中利用核线约束进行线路三维重建[J].北京师范大学学报(自然科学版),2006,42(6):629-632. 被引量:18
  • 2周培德.计算几何[M].北京:清华大学出版社,2002
  • 3Jwa Y and Sohn G. 2010. A multi-level span analysis for improving 3D power-line reconstruction performance using airborne laser scanning data. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38:97-102.
  • 4Jwa Y, Sohn G and Kim H B. 2009. Automatic 3D powedine reconstruc- tion using airborne lidar data. International Archives Photogramm Remote Sensing Spat Information Science, 38(Part 3/W8): 105-110.
  • 5Kim H and Sohn G. 2010.3D classification of Power-line scene from airborne laser scanning data using random forests. Photogrammetric Computer Vision and Image Analysis, 38:126-132.
  • 6Jing L, Zhang J X, Deng K Z, Liu Z J and Shi Q S. 2011. A new power- line extraction method based on airborne LiDAR point cloud data.2011 International Symposium on Image and Data Fusion (ISIDF) Tengchong, Yunnan: IEEE: 1-4 [DOI: 10. ll09/ISIDF. 2011 6O24293.
  • 7McLaughlin R A. 2006. Extracting a:ansmission lines from airborne LiDAR data. Geoseience and Remote Sensing Letters, IEEE, 3 (2): 222-226 [ DOI: 10.1109/LGRS2005.863390 ].
  • 8Melzer T and Briese C. 2004. Extraction and modeling of power lines from als point clouds. Proceedings of 28th Workshop. Hagenberg, Austria.
  • 9Ritter M and Benger W. 2012. Reconstructing power cables from LiDAR data using eigenvector streamlines of the point distribution tensor field. Geoscienee and Remote Sensing Letters, 11(2): 549-553.
  • 10Ritter M, Benger W, Cosenza B, Pullman K, Moritsch H and Leimer W. 2012. Visual data mining using the point distribution tensor. The Seventh Intemational Conference on Systems. 2012:199-202.

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