Radiometry, Infrared Systems, Tracking

Analysis of false alarm distributions in the development and evaluation of hyperspectral point target detection algorithms

[+] Author Affiliations
Charlene E. Caefer

Air Force Research Laboratory,Sensors Directorate, Infrared Sensor Technology Branch, 80 Scott Drive, Hanscom AFB, Massachusetts 01731

Marcus S. Stefanou

Air Force Research Laboratory,Sensors Directorate, Infrared Sensor Technology Branch, 80 Scott Drive, Hanscom AFB, Massachusetts 01731

Eric D. Nielsen

Air Force Research Laboratory,Sensors Directorate, Infrared Sensor Technology Branch, 80 Scott Drive, Hanscom AFB, Massachusetts 01731

Anthony P. Rizzuto

Air Force Research Laboratory,Sensors Directorate, Infrared Sensor Technology Branch, 80 Scott Drive, Hanscom AFB, Massachusetts 01731

Ori Raviv

Ben-Gurion University of the Negev,Department of Electrical and Computer Engineering, Beer-Sheva, Israel

Stanley R. Rotman

Ben-Gurion University of the Negev,Department of Electrical and Computer Engineering, Beer-Sheva, Israel

Opt. Eng. 46(7), 076402 (July 26, 2007). doi:10.1117/1.2759894
History: Received July 19, 2006; Revised December 12, 2006; Accepted January 12, 2007; Published July 26, 2007
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We analyze the efficacy of various point target detection algorithms for hyperspectral data. We present a novel way to measure the discrimination capability of a target detection algorithm; we avoid being critically dependent on the particular placement of a target in the image by examining the overall ability to detect a target throughout the various backgrounds of the cube. We first demonstrate this approach by analyzing previously published algorithms from the literature; we then present two new dissimilar algorithms that are designed to eliminate false alarms on edges. Trade-offs between the probability of detection and false alarms rates are considered. We use our metrics to quantify the improved capability of the proposed algorithms over the standard algorithms.

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© 2007 Society of Photo-Optical Instrumentation Engineers

Citation

Charlene E. Caefer ; Marcus S. Stefanou ; Eric D. Nielsen ; Anthony P. Rizzuto ; Ori Raviv, et al.
"Analysis of false alarm distributions in the development and evaluation of hyperspectral point target detection algorithms", Opt. Eng. 46(7), 076402 (July 26, 2007). ; http://dx.doi.org/10.1117/1.2759894


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