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Title : LEAST-SQUARES BUILDING MODEL FITTING USING AERIAL PHOTOS AND LIDAR DATA
Company : National Cheng Kung University
File Name : Wang.pdf
Size : 683135
Type : application/pdf
Date : 25-Aug-2010
Downloads : 12

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Featured Paper by

Sendo Wang, Yi-Hsing Tseng and Ayman F. Habib

Building models are conventionally reconstructed by measuring their vertices point-by-point in a digital photogrammetric workstation (DPW), which is time and labor consuming process. Although aerial photos implicitly provide 3D information of buildings, LiDAR systems directly provide high density and accurate point cloud coordinates. However, LiDAR data cannot accurately represent the building boundaries. To take advantage of both systems, we propose Floating Model and a tailored least-squares model-data fitting (LSMDF) algorithm in this paper.
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