Object classification and acoustic imaging with active sonar.

J G Kelly; R N Carpenter; J A Tague

doi:10.1121/1.403693

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Object classification and acoustic imaging with active sonar.

J G Kelly·R N Carpenter·J A Tague

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Abstract

The theoretical underpinnings of underwater acoustic classification and imaging using high-frequency active sonar are studied. All essential components of practical classification systems are incorporated in a Bayesian theoretic framework. The optimum decision rules and array processing are presented and evaluated. A systematic performance evaluation methodology is derived. New results quantify the relationship between classifier performance and object geometry, acoustic imaging, and the accuracy of a priori knowledge infused into the processor.

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J G Kelly, R N Carpenter, J A Tague. 1992. Object classification and acoustic imaging with active sonar.. https://doi.org/10.1121/1.403693

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