Automated threshold selection for a constant false alarm rate

Suzanne P. Stetson; Frank J. Crosby

doi:10.1117/12.501573

11 September 2003 Automated threshold selection for a constant false alarm rate

Suzanne P. Stetson, Frank J. Crosby

Proceedings Volume 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII; (2003) https://doi.org/10.1117/12.501573
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Suzanne P. Stetson and 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); https://doi.org/10.1117/12.501573

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