Oil Tank Detection in Optical Remote Sensing Imagery Based on Quasi-circular Shadow
LI Xuan①② LIU Yunqing①
①(School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China) ②(Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China)
To deal with the issue of low oil tanks recognition rate in optical remote sensing image, an improved oil tanks detection method is proposed, which is based on the improved visual saliency model and quasi-circular shadow region. Firstly, the oil tanks are separated from the complex background by using the improved visual saliency model. Secondly, the circular shadow regions are finely detected, and the suspected oil tanks are obtained. Then, the shadow region and the preliminary detection result of oil tanks are obtained. Finally, the false oil tank targets are removed and oil depots are determined based on graph search strategy and prior knowledge. The proposed method is robust to the oil tanks in the optical remote sensing images, and can effectively detect the oil tanks in high recognition rate. The experimental results indicate that the proposed algorithm are fast and accurate to detect the oil tanks, which is suitable for optical remote sensing images of different spatial resolutions.
李轩,刘云清. 基于似圆阴影的光学遥感图像油罐检测[J]. 电子与信息学报, 2016, 38(6): 1489-1495.
LI Xuan, LIU Yunqing. Oil Tank Detection in Optical Remote Sensing Imagery Based on Quasi-circular Shadow. JEIT, 2016, 38(6): 1489-1495.
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