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Ship detection with RADARSAT-2 quad-pol SAR data using improved notch filter based on freeman decomposition

机译:使用基于Freeman分解的改进的Notch滤波器,用Radarsat-2 Quad-POL SAR数据进行船舶检测

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Ploarimetric Synthetic Aperture Radar (POLSAR) provide more information of targets, advantages of which lays in its capability to acquire useful images with any-weather conditions and at night time. POLSAR image has been used to reconnaissance Ships and vessels. Specifically, this paper proposes an improved notch detector algorithm of ship with full polarimetric image. The methodology adopted the result of freeman decomposition instead of coherency matrix for constructing vector space of polarimetric targets. Furthermore, a factor related power is added to the detector in order to separate ships dominated by surface scattering mechanism form the sea. The proposed detector was tested with Radarsat-2 full polarimetric data and show significant agreement with the available sea truth. Comparing with SPAN, Polarimetric whitening filter and Polarimetric notch filter method, the proposed method enhance ship-sea contrast ratio and show higher detection ability.
机译:PloArimetric合成孔径雷达(POLSAR)提供了更多的目标信息,其优点是其能力,以便在任何天气条件和夜间获取有用的图像。 Polsar图像已被用于侦察船舶和船只。 具体地,本文提出了一种具有全极化图像的船舶的改进的陷波探测器算法。 该方法采用Freeman分解而不是用于构建极化目标的矢量空间的一致性矩阵。 此外,将因子相关功率添加到检测器中,以便将由表面散射机构主导的船舶分离形成海洋。 拟议的探测器用Radarsat-2全极化数据进行了测试,并与可用的海洋真理进行了重大协议。 比较跨度,极化美白滤波器和极化缺口滤波器方法,提出方法增强了船舶对比度并显示出更高的检测能力。

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