11 September 2003 Automated threshold selection for a constant false alarm rate
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Abstract
The utility of Constant False Alarm Rate (CFAR) algorithms is that the selection of a detection threshold may be made independently of image intensity. However, wide application of the algorithms shows that detection values are highly dependent on scene characteristics. A threshold selection algorithm is presented for a CFAR detection algorithm. Fitting the output of the detection algorithm with a model of a portion of the theoretical results allows for background independent threshold selection.
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Suzanne P. Stetson, Frank J. Crosby, "Automated threshold selection for a constant false alarm rate", Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.501573; https://doi.org/10.1117/12.501573
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