Volume 34 Issue 1
Jan.  2009
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HUANG Xianfeng, Gunho Sohn, WANG Xiao, ZHANG Fan. Roof Detection Using LiDAR Data Based on Points' Normal with Weight[J]. Geomatics and Information Science of Wuhan University, 2009, 34(1): 24-27.
Citation: HUANG Xianfeng, Gunho Sohn, WANG Xiao, ZHANG Fan. Roof Detection Using LiDAR Data Based on Points' Normal with Weight[J]. Geomatics and Information Science of Wuhan University, 2009, 34(1): 24-27.
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Roof Detection Using LiDAR Data Based on Points' Normal with Weight

  • 1State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,Luoyu Road 129,Wuhan 430079,China;2Geo-ICT Lab,Department of Earth&Atmospheric Science,York University,4700 Keele Str.,Toronto,Canada

Funds: 国家自然科学基金资助项目(40701154)；国家863计划资助项目(SQ2006AA12Z108506)；国家西部1∶50000地形空白区测图工程资助项目(基于LiDAR数据的三维景观重建技术研究)
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  • Received Date: October 31, 2008
  • Revised Date: October 31, 2008
  • Published Date: January 04, 2009
    Graphical Abstract
    • Abstract
  • A roof detection method using LiDAR data is proposed based on points' normal with weight.The normal of the plane,which is composed of point and its neighbor points,is counted to find out the high frequency,and the roofs are detected.Each point's weight is considered to determine the contribution to the plane which diminishes the affection of noises to some extent,and increases the accuracy of the small roof detection.In addition,multiple thresholds are adopted to detect roof planes with different sizes.Experiments are given to prove the algorithm proposed.
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