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Proceedings Paper

Application Of Nonparametric Detectors To Point Target Detection In Infrared Clutter Backgrounds
Author(s): B. D. Billard; M. Arozullah; J. T. Barnett
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Paper Abstract

This paper presents the adaptation and performance evaluation of the Wilcoxon and Mann-Whitney nonparametric detectors for point targets in infrared clutter backgrounds. These detectors are designed to detect a level shift in a set of M samples containing interference which has an incompletely known distribution. We present a transformation based on the Walsh transformation which allows us to apply the Wilcoxon or Mann-Whitney detectors to the case of a target of small extent imbedded in a large number of background samples. We include the formulation of the two nonparametric detectors along with analytical approximations that can be used to calculate performance predictions in terms of probability of detection and false alarm. Last, we present simulation results comparing the nonparametric detectors with an adaptive linear detector. Performance comparisons are shown for simulations against scenes consisting of recorded infrared clutter video as well as a synthetic white noise scene.

Paper Details

Date Published: 5 September 1989
PDF: 11 pages
Proc. SPIE 1096, Signal and Data Processing of Small Targets 1989, (5 September 1989); doi: 10.1117/12.960345
Show Author Affiliations
B. D. Billard, Naval Surface Warfare Center-White Oak (United States)
M. Arozullah, Naval Surface Warfare Center-White Oak (United States)
Catholic University of America (United States)
J. T. Barnett, Naval Surface Warfare Center-White Oak (United States)


Published in SPIE Proceedings Vol. 1096:
Signal and Data Processing of Small Targets 1989
Oliver E. Drummond, Editor(s)

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