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Detection of circular oil tanks based on the fusion of SAR and optical images

机译:基于SAR和光学图像融合的圆形油箱检测

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This paper aims to detect circular oil tanks automatically by using both SAR and optical images. The proposed method consists of two main steps: first, the bright areas are extracted from the SAR image to obtain the candidate regions for oil tanks; second, shape detection is performed in the optical image on these corresponding candidate areas, before we finally determine whether they are oil tanks or not. Prior knowledge, such as the validate dimensions of oil tanks and the group emerging property, is taken into account in this method. The experimental results demonstrate the effectiveness of the proposed method.
机译:本文旨在利用SAR和光学图像自动检测圆形油箱。所提出的方法包括两个主要步骤:首先,从SAR图像中提取亮区域,以获得油箱的候选区域;其次,在最终确定它们是否为油箱之前,在光学图像上对这些对应的候选区域执行形状检测。该方法考虑了先验知识,例如油箱的有效尺寸和组的新兴特性。实验结果证明了该方法的有效性。

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