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Distribution-based CFAR detectors in SAR images 被引量：2

Distribution-based CFAR detectors in SAR images
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摘要 As traditional two-parameter constant false alarm rate （CFAR） target detec-tion algorithms in SAR images ignore target distribution, their performances are not the best or near best. As the resolution of SAR images increases, small targets present more pixels in SAR images. So the target distribution is of much significance. Distribution-based CFAR detection algorithm is presented. We unite the pixels around the test cell, and estimate the distribution of test cell by them. Generalized Likelihood Ratio Test （GLRT） is used to deduce the detectors. The performance of the distribution-based CFAR （DBCFAR） detectors is analyzed theoretically. False alarms of DBCFAR detection are fewer than those of CFAR at the same detection rate. Finally experiments are done and the results show the performance of DBCFAR is out of conventional CFAR. False alarms of DBCFAR detection are concentrated while those of CFAR detection are dispersive. As traditional two-parameter constant false alarm rate （CFAR） target detec-tion algorithms in SAR images ignore target distribution, their performances are not the best or near best. As the resolution of SAR images increases, small targets present more pixels in SAR images. So the target distribution is of much significance. Distribution-based CFAR detection algorithm is presented. We unite the pixels around the test cell, and estimate the distribution of test cell by them. Generalized Likelihood Ratio Test （GLRT） is used to deduce the detectors. The performance of the distribution-based CFAR （DBCFAR） detectors is analyzed theoretically. False alarms of DBCFAR detection are fewer than those of CFAR at the same detection rate. Finally experiments are done and the results show the performance of DBCFAR is out of conventional CFAR. False alarms of DBCFAR detection are concentrated while those of CFAR detection are dispersive.
作者 Gan Rongbing Wang Jianguo
机构地区 National Electronic Warfare Lab School of Electronic Engineering
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2006年第4期717-721,共5页 系统工程与电子技术（英文版）
关键词 synthetic aperture radar （SAR） target detection constant false alarm rate （CFAR） generalized likelihood ratio test （GLRT）. synthetic aperture radar （SAR）, target detection, constant false alarm rate （CFAR）, generalized likelihood ratio test （GLRT）.
分类号 TN958 [电子电信—信号与信息处理]
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参考文献8

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同被引文献24

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引证文献2

二级引证文献10

Journal of Systems Engineering and Electronics
2006年 第4期

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