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Proceedings Paper

Oil tank detection based on salient region and geometric features
Author(s): Yuan Yao; Zhiguo Jiang; Haopeng Zhang
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Paper Abstract

Automatic target detection in remote sensing images remains a challenging problem. In this paper, we present a new oil tank detection method based on salient region and geometric features. Salient region detection and Otsu threshold are used for image segmentation to get candidate regions effectively, and four geometric features are employed for reducing the false alarms. Experimental results show that our method can provide a promising way to detect oil tanks accurately, and it is also robust in complicated conditions such as occlusion, shadow or deformation.

Paper Details

Date Published: 3 November 2014
PDF: 6 pages
Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92731G (3 November 2014); doi: 10.1117/12.2072839
Show Author Affiliations
Yuan Yao, Beihang Univ. (China)
Beijing Key Lab. of Digital Media (China)
Zhiguo Jiang, BeiHang Univ. (China)
Haopeng Zhang, Beihang Univ. (China)
Beijing Key Lab. of Digital Media (China)


Published in SPIE Proceedings Vol. 9273:
Optoelectronic Imaging and Multimedia Technology III
Qionghai Dai; Tsutomu Shimura, Editor(s)

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