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Polish Maritime Research
Volume 31 (2024): Issue 1 (March 2024)
Open Access
Automatic Classification of Unexploded Ordnance (UXO) Based on Deep Learning Neural Networks (DLNNS)
Norbert Sigiel
Norbert Sigiel
,
Marcin Chodnicki
Marcin Chodnicki
,
Paweł Socik
Paweł Socik
and
Rafał Kot
Rafał Kot
| Mar 29, 2024
Polish Maritime Research
Volume 31 (2024): Issue 1 (March 2024)
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Published Online:
Mar 29, 2024
Page range:
77 - 84
DOI:
https://doi.org/10.2478/pomr-2024-0008
Keywords
Deep Learning Neural Network (DLNN)
,
mine detection and classification
,
sonar imagery
,
Mine Countermeasure (MCM)
,
Automatic Target Recognition (ATR
© 2024 Norbert Sigiel et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Norbert Sigiel
Polish Naval Academy Faculty of Navigation and Naval Weapons
Poland
Marcin Chodnicki
Air Force Institute of Technology, Aircraft Composite Structures Division,
Poland
Paweł Socik
Polish Naval Academy Faculty of Mechanical and Electrical Engineering
Poland
Rafał Kot
Polish Naval Academy Faculty of Mechanical and Electrical Engineering
Poland