船舶在码头检测使用多边形逼近方法

You Hui-min, Pi ShaiCheng
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引用次数: 1

摘要

码头船舶检测是高分辨率光学遥感图像处理中的一个难点。码头的灰度值和纹理特征与船舶相似。因此,传统方法难以提取陆/水边界,难以获得准确的检测结果。在本文中,我们提出了一种新的陆地/水边界检测方法。该方法基于一种多边形逼近算法,该算法由模糊随机霍夫变换(FRHT)和多点曲率(MPC)两部分组成。FRHT和MPC算法可以准确地检测到陆地/水域边界的主直线,所提出的多边形近似算法可以准确地逼近港口多边形。实验结果证明了该方法在码头船舶检测中的有效性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ship detection at the dock using a polygon approximation method
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.
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