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《Science of Surveying and Mapping》 2010-05
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Airborne LIDAR data filtering combing intensity information

YUAN Feng①②,ZHANG Ji-xian②,ZHANG Li②,GAO Jing-xiang①(①School of Environment and Spatial Information,Chinese University of Mining and Technology,Jiangsu Xuzhou 221116,China;②Chinese Academy of Surveying and Mapping,Beijing 100039,China)  
Digital surface model(DSM) can be acquired from airborne LIDAR(LIght Detection And Ranging) directly.But for the production of digital elevation model(DEM) from the point cloud,the filtering of the point cloud should be carried out in order to remove points representing surface of non-ground objects.According to the deficiencies of slope based method and intensity information of LIDAR data,a novel filtering algorithm for LIDAR data that combining range information and intensity information is presented in this paper.Compared to the slope based method,this method can improve precision and efficiency of filtering.Experiment results show that the proposed method can remove objects effectively and rapidly.
【Fund】: 国家自然科学基金(40871167)
【CateGory Index】: P225.1
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Chinese Journal Full-text Database 1 Hits
1 LIU Jingnan1 XU Xiaodong2 ZHANG Xiaohong3 CHENG Shilai3(1 Presidential Secretariat,Wuhan University,Luojia Hill,Wuhan 430072,China)(2 Guangzhou Geological Investigation and Foundation Engineering Corporation,477 East Huanshi Road,Guangzhou 510075,China)(3 School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China);Adaptive Hierarchical and Weighted Iterative Filtering of Airborne LIDAR Data and Its Quality Assessment[J];Geomatics and Information Science of Wuhan University;2008-06
Chinese Journal Full-text Database 3 Hits
1 YUAN Feng,GAO Jingxiang,ZHANG Jixian,ZHANG Li;A Method of Extracting DEM from LiDAR Data in Urban Areas[J];Bulletin of Surveying and Mapping;2010-02
2 ZHANG Jing1,ZHANG Xiao-jun1,JIANG Wan-shou1,WANG Jian-chao2,GUO Da-hai2(1.LIESMARS,Wuhan University,Wuhan 430079,China;2.China Aero Geophysical Survey & Remote Sensing Center for Land and Resousces,Beijing 100083,China);Progressive Linear Prediction Fitting for Extracting DTM from Airborne LiDAR Data[J];Remote Sensing for Land & Resources;2011-01
3 SHEN Jing1 LIU Jiping1 LIN Xiangguo 1,2(1 Chinese Academy of Surveying and Mapping,28 West Lianhuachi Road,Haidian District,Beijing 100830,China)(2 School of Resources and Environment Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China);Airborne LiDAR Data Filtering by Morphological Reconstruction Method[J];Geomatics and Information Science of Wuhan University;2011-02
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