Paper
19 November 2014 Digital building model generation through the intergration of aerial LiDAR and multiple photo data in urban areas
Tingting Chang, Ruifang Zhai, Jing Fu
Author Affiliations +
Abstract
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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Tingting Chang, Ruifang Zhai, and Jing Fu "Digital building model generation through the intergration of aerial LiDAR and multiple photo data in urban areas", Proc. SPIE 9264, Earth Observing Missions and Sensors: Development, Implementation, and Characterization III, 92641P (19 November 2014); https://doi.org/10.1117/12.2069217
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KEYWORDS
LIDAR

Image segmentation

Data modeling

3D image processing

3D modeling

Airborne remote sensing

Data integration

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