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Vessel detection based on dual-operator log-pol top-hat filter

机译:基于双操作员日志POL顶帽滤波器的血管检测

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Vessel detection has been widely used in Marine Surveillance to automatically detect potential threats over a huge oceanic area. However, the uncertainty of ship direction and the interference of environment factors, such as sea waves and cloud, will greatly reduce the detection accuracy. In order to solve the above problems and provide robustness to environmental conditions, we combine the property of polar-logarithmic coordinate and proposed our method named "Dual-operator log-pol top-hat filter (DOLPTH)" to make better use of the difference information between the vessel and the background. Different situations are designed to test the performance of our algorithm compared with other algorithms. The experimental results show that in both cases, DOLPTH can maintain high accuracy and has good detection performance.
机译:血管检测已广泛用于海洋监测,以自动检测巨大的海洋区域的潜在威胁。然而,船舶方向的不确定性和环境因素的干扰,如海浪和云,将大大降低检测精度。为了解决上述问题并为环境条件提供鲁棒性,我们组合了北极对数坐标的属性,并提出了我们命名为“双操作员日志POL顶帽子过滤器(Dolpth)”的方法,以更好地利用差异船舶与背景之间的信息。与其他算法相比,不同的情况旨在测试我们的算法的性能。实验结果表明,在这两种情况下,Dolpth都可以保持高精度并具有良好的检测性能。

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