Reliable and accurate Digital Building Model (DBM) generation is essential for many applications that involve in using
of digital 3-D city models. This paper focuses on the integration of LiDAR and multiple aerial image data for accurate
generation of DBM in urban areas. First, the LiDAR data are segmented to derive rough building boundaries, which are
projected onto the multiple aerial photos to building a buffer area for each building in the proceeding procedures.
Second, straight line segments are detected in the buffer area, respectively Then, straight line matching in 3D planar
patch are conducted on multiple images so as to derive 3d matched lines in the planar patch to compete for the correct
boundary as many as possible. Several constraints are taken into consideration in the process of matching. Finally, a
similarity measure is defined to select one straight line segment which is believed to represent the building boundary.
Afterwards, a closed polygon is generated for each concerned building. The proposed methodology is implemented using
real datasets, and the experimental results show that the integration of LiDAR and multiple aerial photos is promising for
digital building model generation.
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