Abstract
LIDAR integrates digital camera, global positioning system (GPS), inertial navigation system, laser ranging and other advanced technology,using GPS to control the attitude of flying platform, obtaining the distance information between receiver and landmark via laser, capturing the image information by digital camera. At last, the distance is expressed as the 3D coordinates of the target landmark, and the image information is expressed as the surface characteristics on the target landmark. In this paper, firstly, the 3D coordinates are speckle noise filtered to realize point cloud de-noising and classification; then the point cloud of classification is plain rasterized to achieve the transformation from plane coordinates to image coordinates, and the image coordinates is processed to be corresponding elevation of grid unit by incremental insertion and median filter, at the same, the elevation is filled to the corresponding grid to generate DSM depth image by Gray-Scale transformation. Finally, the SOBEL detection operator is quickly and efficiently used to extract the building boundary characteristics which are applying in digital city construction, three dimensional entity model construction, urban planning and construction.
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Wang, M., Yang, G., Zhang, X., Lu, L. (2017). Research on Rapid Extraction Method of Building Boundary Based on LIDAR Point Cloud Data. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-10-3966-9_46
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DOI: https://doi.org/10.1007/978-981-10-3966-9_46
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