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Optimal polarimetric processing for enhanced target detection

机译:最佳极化处理可增强目标检测

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The results of a study of several polarimetric target detection algorithms are presented. The study concerns the Lincoln Laboratory millimeter-wave SAR sensor, a fully polarimetric, 35 GHz synthetic-aperture radar. Fully polarimetric measurements (HH, HV, VV) are processed into intensity imagery using adaptive and nonadaptive polarimetric whitening filters (PWFs), and the amount of speckle reduction is quantified. Then a two-parameter CFAR (constant false alarm rate) detector is run over the imagery to detect the targets. Nonadaptive PWF processed imagery is shown to provide better detection performance than either adaptive PWF processed imagery or single-polarimetric-channel HH imagery. In addition, nonadaptive PWF processed imagery is shown to be visually clearer than adaptive PWF processed imagery.
机译:提出了几种极化目标检测算法的研究结果。该研究涉及林肯实验室毫米波SAR传感器,这是一种全极化的35 GHz合成孔径雷达。使用自适应和非自适应极化白化滤镜(PWF)将全极化测量值(HH,HV,VV)处理为强度图像,并对斑点减少量进行量化。然后,在影像上运行两参数CFAR(恒定误报率)检测器以检测目标。与自适应PWF处理的图像或单极化通道HH图像相比,非自适应PWF处理的图像显示出更好的检测性能。此外,非自适应PWF处理的图像在视觉上比自适应PWF处理的图像更清晰。

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