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A new scattering similarity based metric for ship detection in Pol-SAR image

机译:一种新的基于散射相似度的Pol-SAR图像舰船检测指标

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In this paper, a new paradigm for synthetic aperture radar (SAR) observation of ship targets at sea is presented. We firstly utilize the scattering similarity parameters to investigate the differences of scattering mechanism between ships and sea, based on which, a novel ship detection metric is proposed. Then the distribution function of the proposed metric is investigated and modeled by utilizing the method of kernel density estimation (KDE). Based on the statistical model, an automatic constant false alarm rate (CFAR) detection scheme is implemented. The proposed metric is compared with two classic polarimetric metrics, and the experimental results conducted on C-band RADARSAT-2 polarimetric SAR (Pol- SAR) data demonstrate the feasibility of the proposed metric and corresponding approach.
机译:本文提出了一种用于合成孔径雷达(SAR)观察海上船舶目标的新范例。我们首先利用散射相似性参数研究船舶与海洋之间散射机制的差异,在此基础上提出了一种新的船舶检测指标。然后利用核密度估计(KDE)方法对所提出的度量的分布函数进行研究和建模。基于统计模型,实现了自动恒虚警率(CFAR)检测方案。将拟议的指标与两个经典的极化指标进行了比较,在C波段RADARSAT-2极化SAR(Pol-SAR)数据上进行的实验结果证明了拟议的指标和相应方法的可行性。

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