30 October 2009 Building outline extraction from airborne laser scanning data over urban areas
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951T (2009) https://doi.org/10.1117/12.832907
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Urban building extraction is an important research topic in urban studies. We present a three-step method to detect the outline of buildings, Firstly, DEM (Digital Elevation Model) is separate from DSM (Digital Surface Model), in our algorithm, and surface based method is adopted. The second step is to classify buildings and other off-terrain objects. Texture characters are selected to classify them. Four parameters (Contrast, Energy, Entropy, and Homogeneity) are defined to describe textures. Rough set method is used to distinguish between buildings and non-buildings based on knowledge gained from training data. Finally, we convert images which buildings are detected to polygons, building outlines are obtained. The data set we use in this paper is located in Ada County of Idaho State, USA. Experiments show building detection rate with our method is more than 85%. It shows the method adopted in this paper is feasible.
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Chengyi Wang, Chengyi Wang, Jian Yang, Jian Yang, Jingbo Chen, Jingbo Chen, } "Building outline extraction from airborne laser scanning data over urban areas", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951T (30 October 2009); doi: 10.1117/12.832907; https://doi.org/10.1117/12.832907
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