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LIDAR Point Cloud Data Extraction and Establishment of 3D Modeling of Buildings

机译:LIDAR点云数据提取与建筑建筑3D建设

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This paper takes the method of Shepard's to deal with the original LIDAR point clouds data ,and generate regular grid data DSM, filters the ground point cloud and non ground point cloud through double least square method, and obtains the rules of DSM. By using region growing method for the segmentation of DSM rules, the removal of non building point cloud, obtaining the building point cloud information. Uses the Canny operator to extract the image segmentation is needed after the edges of the building, uses Hough transform line detection to extract the edges of buildings rules of operation based on the smooth and uniform. At last, uses E3Dc3 software to establish the 3D model of buildings.
机译:本文采用Shepard的方法来处理原始LIDAR点云数据,并通过双倍最小二乘法将接地点云和非接地点云滤除常规网格数据DSM,获取DSM规则。 通过使用区域越来越多的方法来分割DSM规则,删除非建筑点云,获取建筑点云信息。 使用Canny运算符在建筑物边缘之后提取图像分割,使用Hough变换线检测来提取基于平滑和均匀的建筑物操作规则的建筑物的边缘。 最后,使用E3DC3软件建立建筑物的3D模型。

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