An Approach To Coordinated Uncertainty Management In Automatic Target Recognition

Advait Mogre; Robert McLaren

doi:10.1117/12.969778

1 March 1990 An Approach To Coordinated Uncertainty Management In Automatic Target Recognition

Advait Mogre, Robert McLaren

Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969778
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

The Automatic Target Recognition (ATIR) problem generally involves the acquisition, digitization and processing of video/IR signals from a given scene, in which the "targets" of interest are to be identified. There has been, up to date, no single effective procedure to handle a wide class of targets acquired by different sensors under different conditions. There has been, however, increasing success in decision making under uncertainty, using a rule based approach. In this paper, the need to appropriately model the types of uncertainties inherent in the decision process, and the need to compensate for disparate evidence sources is emphasized. Along with this, a systematic approach towards uncertainty management within the ATR problem domain is presented.

Citation Download Citation

Advait Mogre and Robert McLaren "An Approach To Coordinated Uncertainty Management In Automatic Target Recognition", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); https://doi.org/10.1117/12.969778

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