Feature distributions and probability of identification

David M. Doria

doi:10.1117/12.357695

13 August 1999 Feature distributions and probability of identification

David M. Doria

Proceedings Volume 3721, Algorithms for Synthetic Aperture Radar Imagery VI; (1999) https://doi.org/10.1117/12.357695
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

In this paper we present a method of analysis of model based automatic target recognition (ATR) algorithms, as a function of a number of important parameters of the system, including the number and size of the models, the correlations between models, the expected probability of detection of features, the rates of occurrence of unpredicted features, and the spatial resolution of the predicted features, as defined by a local spatial feature density. Analytical results for a two class problem are presented as a function of between-class correlation and feature localization accuracy.

Citation Download Citation

David M. Doria "Feature distributions and probability of identification", Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); https://doi.org/10.1117/12.357695

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