Object classification and acoustic imaging with active sonar
| Autor: | John A. Tague, Robert N. Carpenter, James G. Kelly |
|---|---|
| Rok vydání: | 1992 |
| Předmět: |
Signal processing
Models Statistical Acoustics and Ultrasonics Computer science business.industry Normal Distribution Array processing Pattern recognition Bayes Theorem Sonar Arts and Humanities (miscellaneous) Humans Scattering Radiation Ultrasonics Artificial intelligence Marine mammals and sonar Underwater acoustics business Classifier (UML) Optoacoustic imaging Algorithms |
| Zdroj: | The Journal of the Acoustical Society of America. 91(4 Pt 1) |
| ISSN: | 0001-4966 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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