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Proceedings Paper

Theoretical and empirical studies of the standard Gaussian automatic target recognition algorithm
Author(s): Gerald N. Gilbert; Anthony Donadio
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Paper Abstract

We analyze and assess the underlying assumptions and characteristics of the standard Gaussian automatic target recognition algorithm. An analysis of the theoretical formulation of the basic algorithm is carried out in which the important assumption of Gaussian multivariate feature distribution is replaced with the assumption of generalized Rayleigh multivariate feature distribution. Closed form analytical expressions are worked out for the associated characteristic and detection probability functions. Numerical analysis of the results is performed which reveals that superior performance characteristics can arise in the generalized Rayleigh distribution-based case. An empirical analysis of a computer programmatic implementation of the basic Gaussian algorithm is also carried out to explore the sensitivity of the generated numerical results to the variation of those parameters which are intrinsic to the code. It is explicitly demonstrated that the statistics of the receiver-operator characteristics yielded by the code are extremely sensitive to this set of parameters, and that this sensitivity can lead to potentially ambiguous results in important cases.

Paper Details

Date Published: 24 August 1999
PDF: 13 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359957
Show Author Affiliations
Gerald N. Gilbert, MITRE Corp. (United States)
Anthony Donadio, MITRE Corp. (United States)

Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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