Underwater target classification in synthetic aperture sonar imagery using deep convolutional neural networks

Proceedings - International Conference on Pattern Recognition

Volumn 0, Issue , 2016, Pages 2497-2502

  Williams, David P ^a  

^a NATO UNDERSEA RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; IMAGE CLASSIFICATION; NEURAL NETWORKS; SONAR; SYNTHETIC APERTURE SONAR; SYNTHETIC APERTURES; UNDERWATER ACOUSTICS;

BINARY CLASSIFICATION; DEEP CONVOLUTIONAL NEURAL NETWORKS; DIFFERENT CLASS; GEOGRAPHICAL LOCATIONS; SENSOR MODALITY; SYNTHETIC APERTURE SONAR (SAS); TRAINING PROCEDURES; UNDERWATER TARGET CLASSIFICATION;

DEEP NEURAL NETWORKS;

EID: 85006848531     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2016.7900011     Document Type: Conference Paper

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