Paper
12 March 2015 Shadow based building extraction from single satellite image
Gurshamnjot Singh, Mark Jouppi, Zhuoran Zhang, Avideh Zakhor
Author Affiliations +
Proceedings Volume 9401, Computational Imaging XIII; 94010F (2015) https://doi.org/10.1117/12.2083500
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States
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%.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gurshamnjot Singh, Mark Jouppi, Zhuoran Zhang, and Avideh Zakhor "Shadow based building extraction from single satellite image", Proc. SPIE 9401, Computational Imaging XIII, 94010F (12 March 2015); https://doi.org/10.1117/12.2083500
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Image segmentation

Satellites

Earth observing sensors

Satellite imaging

Vegetation

Image processing

3D modeling

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