2012
DOI: 10.3724/sp.j.1004.2012.01885
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Survey on Fast CFAR Detection Algorithms for SAR Image Targets

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Cited by 9 publications
(4 citation statements)
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“…The principle of finding the outlier value is followed. To calculate the median and standard deviation of the values in the sliding window [13,14] . If the data value is more or less "t" times the standard deviation than the median, the data becomes an outlier value.…”
Section: Methods Of Hampelmentioning
confidence: 99%
“…The principle of finding the outlier value is followed. To calculate the median and standard deviation of the values in the sliding window [13,14] . If the data value is more or less "t" times the standard deviation than the median, the data becomes an outlier value.…”
Section: Methods Of Hampelmentioning
confidence: 99%
“…As one of the most classical target detection methods, CFAR has been proved its efficiency and effectiveness [39]. In radar target detection, the probability of target appearing under certain conditions is often unknown in advance, and the loss caused by missed detection is also unknown.…”
Section: ) Lower Point Sets Obtained By Cfarmentioning
confidence: 99%
“…When the external interference changes, CFAR can automatically adjust its sensitivity to keep the false alarm probability unchanged. This characteristic is called constant false alarm rate characteristic [38], [39]. As a simple and fast target detection algorithm, CFAR achieves target detection by judging whether the pixel gray value exceeds a certain threshold value one by one.…”
Section: ) Lower Point Sets Obtained By Cfarmentioning
confidence: 99%
“…Traditional methods [2][3][4][5][6][7][8][9] have made some improvements in SAR image target detection, but those methods require prior information and lack robustness. Besides, the detection times of those algorithms also limits the practical application.…”
Section: Introductionmentioning
confidence: 99%