CFAR Edge Detection Using Hysteresis Thresholding for Polarimetric SAR Imagery

C. Niu, Wanjie Lu, Wei Liu, T. Hu, Shiju Wang, Yajie Wu
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Abstract

Edge detection is highly susceptible to streaking caused by speckles in polarimetric synthetic aperture radar (PolSAR) imagery. In this article, we address hysteresis thresholding for suppress streaking in PolSAR's edge detection. As an example, an approach is suggested by combining the constant false alarm ratio (CFAR) detector and the hysteresis thresholding. After thinning edges obtained by the CFAR detector, the hysteresis thresholding is employed to reduce edge streaking, which is caused by abundant speckles. A ratio of the high to the low threshold Pfa in the hysteresis thresholding is pointed out for linking edges. Experiments are carried out on both simulated and real PolSAR data sets, and the results reveal that hysteresis thresh- olding obviously promotes the performance of the CFAR detector.
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基于滞后阈值的极化SAR图像CFAR边缘检测
在偏振合成孔径雷达(PolSAR)图像中,边缘检测极易受到由斑点引起的条纹的影响。在本文中,我们讨论了在PolSAR边缘检测中抑制条纹的滞后阈值。作为实例,提出了一种将恒虚警比(CFAR)检测器与迟滞阈值相结合的方法。在对CFAR检测器得到的边缘进行细化后,采用迟滞阈值法对大量斑点引起的边缘条纹进行抑制。指出了迟滞阈值的高阈值与低阈值Pfa的比值。在模拟和真实的PolSAR数据集上进行了实验,结果表明迟滞阈值处理明显提高了CFAR探测器的性能。
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