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Improving Ship Detection with Polarimetric SAR based on Convolution between Co-polarization Channels

机译:基于共极化通道之间卷积的极化SAR改善舰船检测

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摘要

The convolution between co-polarization amplitude only data is studied to improve ship detection performance. The different statistical behaviors of ships and surrounding ocean are characterized a by two-dimensional convolution function (2D-CF) between different polarization channels. The convolution value of the ocean decreases relative to initial data, while that of ships increases. Therefore the contrast of ships to ocean is increased. The opposite variation trend of ocean and ships can distinguish the high intensity ocean clutter from ships' signatures. The new criterion can generally avoid mistaken detection by a constant false alarm rate detector. Our new ship detector is compared with other polarimetric approaches, and the results confirm the robustness of the proposed method.
机译:研究了仅共极化幅度数据之间的卷积,以提高舰船检测性能。船舶和周围海洋的不同统计行为的特征是不同极化通道之间的二维卷积函数(2D-CF)。相对于初始数据,海洋的卷积值减小,而船舶的卷积值增大。因此,增加了船舶与海洋的对比度。海洋和船舶相反的变化趋势可以将高强度的海洋混乱与船舶特征区分开。新标准通常可以避免恒定误报率检测器的错误检测。我们的新型船舶探测器与其他极化方法进行了比较,结果证实了该方法的鲁棒性。

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