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Ship detection at the dock using a polygon approximation method

机译:使用多边形近似方法在码头送到船坞

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Ship detection at the dock is a difficult task in high-resolution optics remote sensing image processing. The gray values and textural features of the dock are similar to that of the ships. Therefore, it is difficult to extract the land/water-boundaries for the traditional methods, and it is difficult to obtain accurate detection results. In this paper, we propose a novel method of land/water-boundaries detection. This method is based on a polygon approximation algorithm which is combined by two parts, i.e., Fuzzy Random Hough Transform (FRHT) and Multi-points Curvature (MPC). The main straight-line of the land/water-boundaries can be detected accurately by FRHT and MPC, and the port polygon will be approximated accurately by the proposed polygon approximation algorithm. Experimental results demonstrate the effectiveness and feasibility of the proposed method for ship detection at the dock.
机译:船坞的船舶检测是高分辨率光学遥感图像处理的艰巨任务。码头的灰色值和纹理特征与船舶的灰色值和纹理特征类似。因此,难以提取传统方法的土地/水边,并且难以获得准确的检测结果。在本文中,我们提出了一种新颖的陆地/水边检测方法。该方法基于多边形近似算法,该近似算法由两个部分组合,即模糊随机霍夫变换(FRHT)和多点曲率(MPC)。通过FRHT和MPC可以精确地检测到陆地/界限的主直线,并且端口多边形将通过所提出的多边形近似算法准确地近似。实验结果表明,船坞船舶检测方法的有效性和可行性。

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