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Constant false alarm rate detection of slow targets in polarimetric along-track interferometric synthetic aperture radar imagery

机译:极化沿轨干涉合成孔径雷达图像中慢速目标的恒定误报率检测

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摘要

To improve the detection performance for ground moving targets with small radar-cross-section and low velocity in Along-Track Interferometric Synthetic Aperture Radar (AT-INSAR) system, this study explores new methods to elevate the target-to-clutter ratio by using full Polarimetric AT-INSAR (AT-POLINSAR). Three novel detectors that can achieve Constant False Alarm Rate (CFAR) detection are put forward for AT-POLINSAR at first, namely, the Suboptimal Interferometric Coherence Detector, the Generalized Polarimetric Whitening Filter and the Dual Detector. Secondly, the analytical expressions of their false-alarm rates are derived under the Gaussian distribution assumption of the six-dimensional polarimetric interferometric vector, then the estimation methods of distribution parameters and the calculating methods of detection thresholds as well as the specific implementation schemes of CFAR detection are given. Finally, the proposed detectors are compared with single-polarimetric AT-INSAR detectors and full polarimetric log-likelihood-ratio test through both the Monte Carlo detection experiments and the scene detection experiments of simulated AT-POLINSAR imagery, where the results indicate that new methods have rather higher CFAR detection performance and velocity estimation accuracy than current single-polarimetric detectors.
机译:为提高航迹干涉合成孔径雷达(AT-INSAR)系统中雷达截面小,速度低的地面移动目标的检测性能,本研究探索了一种新的方法来提高目标的杂波比。全极化AT-INSAR(AT-POLINSAR)。首先针对AT-POLINSAR提出了三种可以实现恒虚警率(CFAR)检测的新型检测器,即次优干涉相干检测器,广义极化白化滤波器和双检测器。其次,在六维极化干涉矢量的高斯分布假设下,推导了其误报率的解析表达式,然后推导了分布参数的估计方法,检测阈值的计算方法以及CFAR的具体实现方案。给出检测。最后,通过蒙特卡罗检测实验和模拟AT-POLINSAR图像的场景检测实验,将提出的探测器与单极化AT-INSAR探测器和全极化对数似然比测试进行了比较,结果表明了新方法具有比目前的单极化检测器更高的CFAR检测性能和速度估计精度。

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