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《Forest Engineering》 2013-06
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Data Processing of Airborne Lidar Point Cloud Based on the Edge Detection Filtering Algorithm

Wei Haohan;He Liheng;Li Jie;College of Civil Engineering,Nanjing Forestry University;College of Surveying and Geoinformation,Tongji University;  
As an active earth observation technology,Airborne Light Detection and Ranging( Lidar) can acquire the three dimensional coordinates of points directly. The data processing of Lidar point clouds includes filtering and classification,which is a key step in Lidar data processing. The dataset is obtained from International Society for Photogrammetry and Remote Sensing( ISPRS).The edge detection filtering algorithm and the linear convolution filtering algorithm were used to filter the data,and results indicated that the filtered image with edge detection filtering algorithm has a better effect than those with linear convolution filtering algorithm.Based on Axelsson's modified encrypting Triangulated Irregular Network,Lidar point clouds are classified into eight categories: low points,isolated points,air points,ground,model keypoints,below surface,buildings and vegetation. All points are classified to a unique category with this algorithm,with ground details displayed clearly.
【Fund】: 江苏省测绘科研项目(JSCHKY201214);; 江苏高校优势学科建设工程资助项目
【CateGory Index】: TN957.52
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