Object classification and acoustic imaging with active sonar.
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.
Kelly
J G
JG
Naval Underwater Systems Center, Newport, Rhode Island 02841.
Carpenter
R N
RN
Tague
J A
JA
D000465:Algorithms; D001499:Bayes Theorem; D006801:Humans; D015233:Models, Statistical; D016011:Normal Distribution; D012542:Scattering, Radiation; D014465:Ultrasonics