Building damage detection based on single high-resolution remote sensing imagery
Building damage detection based on single high-resolution remote sensing imagery
- Author(s): Xuegui Xu ; Xi Li ; Cao Liu
- DOI: 10.1049/cp.2012.1055
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- Author(s): Xuegui Xu ; Xi Li ; Cao Liu Source: International Conference on Automatic Control and Artificial Intelligence (ACAI 2012), 2012 p. 618 – 621
- Conference: International Conference on Automatic Control and Artificial Intelligence (ACAI 2012)
- DOI: 10.1049/cp.2012.1055
- ISBN: 978-1-84919-537-9
- Location: Xiamen, China
- Conference date: 3-5 March 2012
- Format: PDF
This paper presents a building detection approach based on HSV color space. The method is based on the gray level histogram features, which can separate the housing construction units from complex background. A building damage detection algorithm based on regional statistical information is also proposed in this paper, and a set of performance parameters of feature vector is studied to identify the extent of the housing collapse. The experiments on Haiti post-earthquake images from Google Earth and Yushu post-earthquake images from Internet are discussed in the paper. The experimental results show that proposed approach is effective and feasible.
Inspec keywords: statistical analysis; geophysical image processing; image colour analysis; earthquake engineering; image resolution
Subjects: Other topics in statistics; Geophysical techniques and equipment; Other topics in statistics; Optical, image and video signal processing; Geography and cartography computing; Computer vision and image processing techniques
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