Method for extracting point cloud data of tree height based on space three-dimensional template
A 3D template, point cloud data technology, applied in image data processing, image analysis, instruments, etc., to avoid adverse effects and ensure reliability
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[0026] Point cloud classification is a conventional method in the field of lidar processing, and the specific classification process will not be repeated.
[0027] Step b, respectively generate the digital elevation model (DEM) and digital surface model (DSM) of the area to be extracted, where the digital elevation model is generated by interpolating the ground point cloud data obtained in step a, and the digital surface model The generation method is obtained by interpolating the non-noise point cloud data obtained in step a.
[0028] The DEM generation algorithm of the embodiment is divided into three steps: the first step is to rasterize the point cloud data, and for the situation that multiple points appear in the grid unit, use the minimum elevation value as the grid unit value; the second step is The local minimum search window algorithm is used to extract the ground points; the third step is to use the irregular triangulation interpolation algorithm to interpolate the g...
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