Markov random fields for target classification in low frequency sonar

Low frequency active sonar, when operated in shallow water can suffer from a large number of false "clutter-like" returns. We have used a Markov random field (MRF) approach in order to reduce the number of such false detections by distinguishing between target-like contacts and background...

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Bibliographische Detailangaben

Hauptverfasser:	Laterveer, R., Hughes, D., Dugelay, S.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Educational institutions Frequency Marine Markov random fields Object detection Reverberation Signal processing algorithms Sonar detection Target tracking Testing
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