Paper
3 November 2014 Oil tank detection based on salient region and geometric features
Yuan Yao, Zhiguo Jiang, Haopeng Zhang
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuan Yao, Zhiguo Jiang, and Haopeng Zhang "Oil tank detection based on salient region and geometric features", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92731G (3 November 2014); https://doi.org/10.1117/12.2072839
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Image segmentation

Target detection

Remote sensing

Binary data

Hough transforms

Roads

Image processing algorithms and systems

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