Algorithm fusion for automated sea mine detection and classification

@article{Dobeck2001AlgorithmFF,
  title={Algorithm fusion for automated sea mine detection and classification},
  author={Gerald J. Dobeck},
  journal={MTS/IEEE Oceans 2001. An Ocean Odyssey. Conference Proceedings (IEEE Cat. No.01CH37295)},
  year={2001},
  volume={1},
  pages={130-134 vol.1}
}
The fusion of multiple detection/classification algorithms is proving a very powerful approach for dramatically reducing false alarm rate, while still maintaining a high probability of detection and classification. This has been demonstrated in several Navy sea tests. The high-resolution sonar is one of the principal sensors used by the Navy to detect and classify sea mines in mine hunting operations. For such sonar systems, substantial effort has been devoted to the development of automated… CONTINUE READING

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