Oil tank detection based on salient region and geometric features
Yuan Yao, Zhiguo Jiang, Haopeng Zhang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.