Sea mine detection and classification using side-looking sonar

@inproceedings{Hyland1995SeaMD,
  title={Sea mine detection and classification using side-looking sonar},
  author={John C. Hyland and Gerald J. Dobeck},
  booktitle={Defense, Security, and Sensing},
  year={1995}
}
Coastal Systems Station has developed an approach for automatic mine detection and classification. The Detection Density ACF Approach was created by integrating the adaptive clutter filter (ACF) developed by Martin Marietta, the specification of target signature suggested by Loral Federal Systems, and the Attracted-Based Neural Network developed at NSWC Coastal Systems Station with a detection density target recognition criterion. The Detection Density ACF Approach consists of eight steps… CONTINUE READING

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Algorithms for Mine Detection and Classification via High Resolution Side Scan Sonar Imagery

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