Automatic 3D building model reconstruction method based on aviation LiDAR data
A building and data technology, applied in 3D modeling, image data processing, instruments, etc., can solve problems such as difficulty in determining the topological relationship of contour lines, and difficulty in determining the connection relationship between different roof layers.
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[0045] The present invention will be described in detail below according to the accompanying drawings, so as to make the technical route and operation steps of the present invention clearer.
[0046] The aerial LiDAR data obtained by using the Optech ALTM Gemini laser scanner is experimental data, such as figure 2 shown. The average point spacing of aviation LiDAR data is 0.4m, the elevation accuracy is 15cm, and the plane accuracy is 30cm.
[0047] This embodiment is a method for automatic reconstruction of a three-dimensional building model based on aerial LiDAR data (see the flowchart in figure 1 ), including the following steps:
[0048] The first step is the point cloud extraction of building roofs - the types of ground objects contained in the original aerial LiDAR data are mainly buildings, vegetation and ground. The invention extracts building LiDAR point clouds based on the reverse iterative mathematical morphology filtering algorithm in the patent CN201110432421....
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