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Extended active contours approach for mine detection in synthetic aperture sonar images

机译:扩展的主动轮廓法用于合成孔径声纳图像中的地雷检测

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In this paper the problem of contour extraction in sonar images is addressed. We talk in this context about naval mines placed on the seafloor which are still a vast restraint in civil and military shipping. This potential risk is typically encountered by advanced sonar signal processing techniques and a huge amount of human interactions. To reduce at least the human interactions an automatic procedure is desired. Therefore we introduce a novel automatic target extraction algorithm based on active contours employing a specific shadow locating energy motivated by our experiments. Additionally we use a K-means based thresholding process and a Kolmogorov Smirnov (KS) test for improving the initial guess and therefore optimizing the overall performance.
机译:在本文中,解决了声纳图像中轮廓提取的问题。在这种情况下,我们谈论放置在海底的海军地雷,这些地雷仍然是对民用和军用运输的巨大限制。先进的声纳信号处理技术和大量的人机交互通常会遇到这种潜在风险。为了至少减少人机交互,需要一种自动程序。因此,我们介绍了一种新颖的基于活动轮廓的自动目标提取算法,该算法使用了由我们的实验激发的特定阴影定位能量。另外,我们使用基于K均值的阈值处理和Kolmogorov Smirnov(KS)测试来改善初始猜测,从而优化整体性能。

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