Theoretical and empirical studies of the standard Gaussian automatic target recognition algorithm

Gerald N. Gilbert; Anthony Donadio

doi:10.1117/12.359957

24 August 1999 Theoretical and empirical studies of the standard Gaussian automatic target recognition algorithm

Gerald N. Gilbert, Anthony Donadio

Proceedings Volume 3718, Automatic Target Recognition IX; (1999) https://doi.org/10.1117/12.359957
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Gerald N. Gilbert and Anthony Donadio "Theoretical and empirical studies of the standard Gaussian automatic target recognition algorithm", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359957

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