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1
Anomaly detection in Sonar images: application of saliency ..:
, In:
2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
,
Bazzarello, Lt. Lorenzo
;
Pulpito, Lt. Osvaldo
;
Cannarsa, Lt. Francesco
... - p. 220-224 , 2022
Link:
https://doi.org/10.1109/MetroSea55331.2022.9950937
RT T1
2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
: T1
Anomaly detection in Sonar images: application of saliency filters
UL https://suche.suub.uni-bremen.de/peid=ieee-9950937&Exemplar=1&LAN=DE A1 Bazzarello, Lt. Lorenzo A1 Pulpito, Lt. Osvaldo A1 Cannarsa, Lt. Francesco A1 Bresciani, Matteo A1 Costanzi, Riccardo A1 Acito, Nicola A1 Diani, Marco A1 Corsini, Giovanni A1 Caiti, Andrea YR 2022 K1 Sonar measurements K1 Sea measurements K1 Radar detection K1 Radar imaging K1 Sonar navigation K1 Sensors K1 Safety K1 Mine Warfare K1 Image Processing K1 Saliency Detection K1 Autonomous Underwater Vehicle K1 Side Scan Sonar SP 220 OP 224 LK http://dx.doi.org/https://doi.org/10.1109/MetroSea55331.2022.9950937 DO https://doi.org/10.1109/MetroSea55331.2022.9950937 SF ELIB - SuUB Bremen
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