A Random Forest Based Method for Urban Land Cover Classification using LiDAR Data and Aerial Imagery
Urban land cover classification has always been crucial due to its ability to link many elements of human and physical environments. Timely, accurate, and detailed knowledge of the urban land cover information derived from remote sensing data is increasingly required among a wide variety of communit...
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| Language: | en |
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2012
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| Online Access: | http://hdl.handle.net/10012/6770 |