Processing string fusion approach investigation for automated sea mine classification in shallow water

@article{Aridgides2003ProcessingSF,
  title={Processing string fusion approach investigation for automated sea mine classification in shallow water},
  author={T. Aridgides and M. Fernandez and G. J. Dobeck},
  journal={Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)},
  year={2003},
  volume={2},
  pages={1111-1118 Vol.2}
}
A novel sea mine computer-aided-detection / computer-aided-classification (CAD/CAC) processing string has been developed. The overall CAD/CAC processing string consists of pre-processing, adaptive clutter filtering (ACF), normalization, detection, feature extraction, feature orthogonalization, optimal subset feature selection, classification and fusion processing blocks. The range-dimension ACF is matched both to average mine highlight and shadow information, while also adaptively suppressing… CONTINUE READING

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