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Proceedings Paper

Automated threshold selection for a constant false alarm rate
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Paper 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.

Paper Details

Date Published: 11 September 2003
PDF: 12 pages
Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.501573
Show Author Affiliations
Suzanne P. Stetson, Naval Surface Warfare Ctr. (United States)
Frank J. Crosby, Naval Surface Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 5089:
Detection and Remediation Technologies for Mines and Minelike Targets VIII
Russell S. Harmon; John H. Holloway Jr.; J. T. Broach, Editor(s)

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