Buried Underwater Object Classification Using a Collaborative Multiaspect Classifier

@article{Cartmill2007BuriedUO,
  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},
  year={2007},
  volume={34},
  pages={32-44}
}
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

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 22 references

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

  • M. R. Azimi-Sadjadi, D. Yao, A. Jamshidi, G. J. Dobeck
  • Proc. MTS/IEEE OCEANS Conf., Oct. 2002, vol. 1…
  • 2002
Highly Influential
6 Excerpts

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

  • N. Wachowski, J. Cartmill, M. R. Azimi-Sadjadi
  • Proc. SPIE Defense Security, Apr. 2007, vol. 6553…
  • 2007
1 Excerpt

Similar Papers

Loading similar papers…