Abstract
This paper proposes a method by which scattered LIDAR point clouds are converted into a two-dimensional image and then building footprints are extracted through the image processing. Firstly point cloud grid is handled to generate georeferenced feature image, and then image threshold segmentation, morphological close operation, connectivity analysis and contour tracking method is used to obtain the final building footprints. Finally, based on the mapping relationship between georeferenced feature image and scattered point clouds, building outline points are obtained. Experimental result shows that this method could extract building footprints very well in plain area, but due to the adoption of single image segmentation method in the georeferenced feature image, it is not suitable for the building footprints extraction in mountainous area.
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Hui, Z., Hu, Y., Xu, P. (2015). Automatic Extraction of Building Footprints from LIDAR Using Image Based Methods. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2014. Communications in Computer and Information Science, vol 482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45737-5_8
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DOI: https://doi.org/10.1007/978-3-662-45737-5_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45736-8
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