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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分解的改进陷波滤波器使用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:lo积合成孔径雷达(POLSAR)提供了更多目标信息,其优势在于可以在任何天气条件下和夜间获取有用的图像。 POLSAR图像已用于侦察船舶。具体而言,本文提出了一种改进的具有全偏振图像的舰船陷波检测器算法。该方法采用Freeman分解的结果代替相干矩阵来构造极化目标的矢量空间。此外,将与因子相关的功率添加到检测器,以将由表面散射机制控制的船只从海上分离出来。拟议的探测器已通过Radarsat-2的全极化数据进行了测试,并且与可用的海洋真相具有显着一致性。与SPAN,极化白化滤光片和极化陷波滤光片方法相比,该方法提高了船海对比度,并具有较高的检测能力。

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