Sonar Target Classification with Sonar Fingerprint
نویسندگان
چکیده
To recognize underwater target precisely is always a hot potato to navies due to the complicated watery environment. It’s different from the aerial circumstance. There is much more interfere under the sea. Sonar is the most efficient way to detect underwater world at present time. In this paper, a geneticbased classifier system is designed which recognizes targets by sonar fingerprints. This method will release the sonarman to a certain degree. Experiments show that the system gains acceptable speed and accuracy in the classifying operation. The proposed underwater target classifier system is highly automatic, with quite finite hardware requirements in operating.
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