Buried Underwater Object Classification Using a Collaborative Multiaspect Classifier

  title={Buried Underwater Object Classification Using a Collaborative Multiaspect Classifier},
  author={Jered Cartmill and Mahmood R. Azimi-Sadjadi and Neil Wachowski},
  journal={IEEE Journal of Oceanic Engineering},
In this paper, a new collaborative multiaspect classification system (CMAC) is introduced, which utilizes a group of collaborative decision-making agents capable of producing a high-confidence final decision based on features obtained over multiple aspects. It is also shown how CMAC can be modified to perform multiaspect classification using a decision feedback (DF) strategy. The system is then applied to a buried underwater target classification problem. The results show that CMAC provides… CONTINUE READING

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A biologically inspired adaptive underwater target classification using a multi-aspect decision feedback unit

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Underwater target classification using the wing BOSS and multi-channel decision fusion

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