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Proceedings Paper

Shadow based building extraction from single satellite image
Author(s): Gurshamnjot Singh; Mark Jouppi; Zhuoran Zhang; Avideh Zakhor
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Paper Abstract

Automatic building extraction in satellite imagery is an important problem. Existing approaches typically involve stereo processing two or more satellite views of the same region. In this paper, we use shadow analysis coupled with line segment detection and texture segmentation to construct rectangular building approximations from a single satellite image. In addition, we extract building heights to construct a rectilinear height profile for a single region. We characterize the performance of the system in rural and urban regions of Jordan, Philippines, and Australia and demonstrate a detection rate of 76.2 - 86.1% and a false alarm rate of 26.5 - 40.1%.

Paper Details

Date Published: 12 March 2015
PDF: 15 pages
Proc. SPIE 9401, Computational Imaging XIII, 94010F (12 March 2015); doi: 10.1117/12.2083500
Show Author Affiliations
Gurshamnjot Singh, Signetron Inc. (United States)
Univ. of California, Berkeley (United States)
Mark Jouppi, Signetron Inc. (United States)
Univ. of California, Berkeley (United States)
Zhuoran Zhang, Signetron Inc. (United States)
Univ. of California, Berkeley (United States)
Avideh Zakhor, Signetron Inc. (United States)
Univ. of California, Berkeley (United States)


Published in SPIE Proceedings Vol. 9401:
Computational Imaging XIII
Charles A. Bouman; Ken D. Sauer, Editor(s)

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