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遥感技术与应用  2015, Vol. 30 Issue (6): 1189-1194    DOI: 10.11873/j.issn.1004-0323.2015.6.1189
图像与数据处理     
基于直升机激光点云的分裂导线重建研究
汪骏1,夏少波2,3,王和平1,王成2,谭弘武4
(1.国网通用航空有限公司,北京102209;
2.中国科学院遥感与数字地球研究所数字地球重点实验室,北京100094;
3.中国科学院大学,北京100049;4.北京煜邦电力技术有限公司,北京100028)
Study on Reconstruction of Bundled Conductors from Helicopter-borne LiDAR Data
Wang Jun1,Xia Shaobo2,3,Wang Heping1,Wang Cheng2,Tan Hongwu4
(1.National Grid General Aviation Company Limited,Beijing 102209,China;
2.Key Laboratory of Digital Earth,Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences,Beijing 100094,China;
3.University of Chinese Academy of Sciences,Beijing 100049,China;
4.Beijing Yupont Electric Power Technology Company Limited,Beijing 100028,China)
 全文: PDF(3180 KB)  
摘要:

电力线三维模型是输电线路安全和增容分析的基础,机载/直升机激光雷达技术已经成为电力三维模型重建的重要技术手段,但少有研究涉及分裂导线的高精度建模。通过分析分裂导线点云数据的特点,提出一种基于点云分段、聚类分析和曲线拟合的分裂导线精细三维重建方法。最后利用获取的四分裂导线点云数据,考虑实际作业中可能遇到的点云缺失、密度偏低等情况,对算法进行了测试和分析。结果表明:该算法能够自适应地识别点云中分裂导线的数目,分离不同分裂导线的点云,建模结果可以满足输电线路安全分析的要求。
 

关键词: LiDAR直升机电力巡线分裂导线聚类分析三维重建    
Abstract:

Detecting power transmission lines is useful in the management of power line network.With the increasing applications of LiDAR (Light Detection And Ranging) in the helicopter-based inspection,many studies have focused on the three dimension model of the transmission lines.However,reconstructing the bundled conductors from points cloud is more complex than the non-bundled ones.In this paper,we proposed an automatic algorithm to reconstruct the bundled conductors from the helicopter-borne LiDAR points cloud.The power line is divided into sections along its orientation at first.Secondly,the points in each section are projected onto a principle plane,the clustering is applied in that plane.Thridly,with a clusters merging process,the points from the same bundled conductors in the sections are combined.Finally,the power lines are reconstructed with curve fitting.The algorithm is validated by the points cloud of four-bundled conductors.The results indicated that the proposed method is self-adaptable and effective in bundled conductors reconstruction and the quality of data has low impact on the final results.

Key words: LiDAR    Helicopter-based inspection    Bundled conductors    Clustering    3D-reconstruction
收稿日期: 2014-10-08 出版日期: 2016-01-25
:  P 235  
基金资助:

国家科技部重大科学仪器设备开发专项(2013YQ120343),中国科学院百人计划专项(09ZZ06101B)。

通讯作者: 王成(1975-),男,湖南慈利人,研究员,主要从事激光雷达遥感研究。Email:wangcheng@radi.ac.cn。    
作者简介: 汪骏(1983-),男,安徽黄山人,工程师,主要从事直升机电力作业和电气工程方面的研究。Email:18611026216@163.com。
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引用本文:

汪骏,夏少波,王和平,王成,谭弘武. 基于直升机激光点云的分裂导线重建研究[J]. 遥感技术与应用, 2015, 30(6): 1189-1194.

Wang Jun,Xia Shaobo,Wang Heping,Wang Cheng,Tan Hongwu. Study on Reconstruction of Bundled Conductors from Helicopter-borne LiDAR Data. Remote Sensing Technology and Application, 2015, 30(6): 1189-1194.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.6.1189        http://www.rsta.ac.cn/CN/Y2015/V30/I6/1189

[1]Jwa Y,Sohn G.A Piecewise Catenary Curve Model Growing for 3D Power Line Reconstruction[J].Photogrammetric Engineering & Remote Sensing,2012,78(12):1227-1240.

[2]Tang Feifei,Ruan Zhimin,Liu Xing,et al.A New Method of Individual Tree Recognition based on Airborne LiDAR Data[J].Remote Sensing Technology and Application,2011,26(2):196-201.[唐菲菲,阮志敏,刘星,等.基于机载激光雷达数据识别单株木的新方法[J].遥感技术与应用,2011,26(2):196-201.]〖JP〗

[3]Chen Lei,Zhao Shuhe.An Improved Plane Fitting based Filtering Algorithm for Airborne LiDAR Data[J].Remote Sensing Technology and Application,2011,26(1):117-122.[陈磊,赵书河.一种改进的基于平面拟合的机载LiDAR点云滤波方法[J].遥感技术与应用,2011,26(1):117-122.]

[4]Guo B,Huang X,Zhang F,et al.Classification of Airborne Laser Scanning Data Using Joint Boost[J].ISPRS Journal of Photogrammetry and Remote Sensing,2014,92:124-136.

[5]Kim H,Sohn G.3D Classification of Power-line Scene from Airborne Laser Scanning Data Using Random Forests[J].International Archives of Photogrammetry and Remote Sensing,2010,38:126-132.

[6]Liang Jing,Zhang Jixian,Liu Zhengjun.On Extracting Power-line from Airborne LiDAR Point Cloud Data[J].Bulletin of Surveying and Mapping,2012,(7):17-20.[梁静,张继贤,刘正军.利用机载LiDAR点云数据提取电力线的研究[J].测绘通报,2012,(7):17-20.]

[7]Ye Lan,Liu Qian,Hu Qingwu.Research of Power Line Fitting and Extraction Techniques based on LiDAR Point Cloud Data[J].Geomatics & Spatial Information,2010,33(5):30-34.[叶岚,刘倩,胡庆武.基于 LiDAR 点云数据的电力线提取和拟合方法研究[J].测绘与空间地理信息,2010,33(5):30-34.]〖JP〗

[8]Yu Jie,Mu Chao,Feng Yanming,et al.Powerlines Extraction Techniques from Airborne LiDAR Data[J].Geomatics and Information Science of Wuhan University,2011,36(11):1275-1279.[余洁,穆超,冯延明,等.机载LiDAR点云数据中电力线的提取方法研究[J].武汉大学学报:信息科学版,2011,36(11):1275-1279.]

[9]Han Wenjun,Yang Feng,Peng Jiangui.Power Line Extraction and Modeling based on LiDAR Point Cloud[J].Yangtze River,2012,43(8):18-21.[韩文军,阳锋,彭检贵.激光点云中电力线的提取和建模方法研究[J].人民长江,2012,43(8):18-21.]〖JP〗

[10]Dai Dachang,Lai Xudong,Zheng Min,et al.A Method for Powerline 3D Reconstruction based on LiDAR Point Cloud Data[C]// The 2nd National Congress of LiDAR,Beijing,2013.10.25-10.27.[戴大昌,赖旭东,郑敏,等.基于LiDAR 点云数据的电力线三维重建方法研究,第二届全国激光雷达大会,北京,2013.10.25-10.27].

[11]McLaughlin R A.Extracting Transmission Lines from Airborne LiDAR Data[J].IEEE Geoscience and Remote Sensing Letters,2006,3(2):222-226.

[12]Cheng L,Tong L H,Wang Y,et al.Extraction of Urban Power Lines from Vehicle-borne LiDAR Data[J].Remote Sensing,2014,6(4):3302-3320.

[13]Yin Huizeng,Sun Xuan,Nie Zhengang.An Automatic Extraction Algorithm of Power Lines based on Airborne Laser Scanning Data[J].Geography and Geo-Information Science,2012,28(2):31-35.[尹辉增,孙轩,聂振钢.基于机载激光点云数据的电力线自动提取算法[J].地理与地理信息科学,2012,28(2):31-35.]〖JP〗

[14]Arthur D,Vassilvitskii S.K-means++:The Advantages of Careful Seeding[C]//Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms,Society for Industrial and Applied Mathematics,2007:1027-1035.

[15]Wang Cheng,Menenti M,Stoll M P,et al.Error Analysis & Correction of Airborne LiDAR Data[J].Journal of Remote Sensing,2007,11(3):390-397.[王成,Menenti M,Stoll M P,等.机载激光雷达数据的误差分析及校正[J].遥感学报,2007,11(3):390-397.]

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