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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >The CFAR Detection of Ground Moving Targets Based on a Joint Metric of SAR Interferogram's Magnitude and Phase
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The CFAR Detection of Ground Moving Targets Based on a Joint Metric of SAR Interferogram's Magnitude and Phase

机译:基于SAR干涉图幅相联合度量的地面移动目标CFAR检测

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摘要

By analyzing the backscattering difference between moving targets and stationary clutter contained in the interferogram, a constant false alarm rate (CFAR) detecting method based on a joint metric of synthetic aperture radar (SAR) interferogram's magnitude and phase (IMP) for ground moving targets has been proposed in this paper. First, utilizing the exclusive mapping relationship between interferometric phase and the module of corresponding vector, and combining interferometric magnitude, a new joint metric, called IMP metric, has been constructed. Second, under the frame of multiplicative model, based on the complex Wishart-distribution, the IMP metric's statistical model, simply denoted as ${cal S}^{0}$ distribution, has been derived. Meanwhile, the parametric estimators of the ${cal S}^{0}$ distribution have also been presented based on the Mellin transform. Finally, the CFAR threshold of ground moving target detection using the ${cal S}^{0}$ distribution has been given analytically. The experiments performed on measured dual-SAR images not only show the effectiveness of the IMP metric's statistical models and the parametric estimators, but also prove the good performance of the proposed CFAR detecting method.
机译:通过分析干涉图包含在运动目标和静止杂波之间的反向散射差异,基于合成孔径雷达(SAR)干涉图幅值和相位(IMP)联合度量的地面运动目标的恒虚警率(CFAR)检测方法具有本文提出。首先,利用干涉相位与相应矢量模块之间的排他映射关系,并结合干涉幅值,构造了一种新的联合度量,称为IMP度量。其次,在乘法模型的框架下,基于复杂的Wishart分布,导出了IMP度量的统计模型,简称为$ {cal S} ^ {0} $分布。同时,还基于梅林变换提出了$ {cal S} ^ {0} $分布的参数估计量。最后,通过分析给出了使用$ {cal S} ^ {0} $分布的地面移动目标检测CFAR阈值。在实测双SAR图像上进行的实验不仅证明了IMP度量统计模型和参数估计器的有效性,而且证明了所提出的CFAR检测方法的良好性能。

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