Underwater Target Recognition with Sonar Fingerprint

  • Jian Yuan
  • Guo-Hui Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)


To recognize an underwater target precisely is always a more difficult task for the navy compared to the air force due to the complicated watery environment which is very different from the aerial circumstance. Part of the reason is that there is much more interference under the sea. Sonar is the most efficient way to detect items in the underwater world at the present time. In this paper, a genetic-based classifier system is designed which recognizes targets by sonar fingerprints. This method will, to a certain degree, relieve the sonar man of some of his work. 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 for operation.


Linear Predictive Code Music Information Retrieval Underwater Target Refining Classifier Audio Fingerprint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jian Yuan
    • 1
  • Guo-Hui Li
    • 1
  1. 1.Department of System Engineering, School of Information System & ManagementNational University of Defense TechnologyChangshaChina

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