Open AccessEnvironmentally adaptive automated recognition of underwater mines with synthetic aperture sonar imagery
Author(s) -
Thomas Brandes,
Brett Ballard,
Sowmya Ramakrishnan,
Ethan Lockhart,
Bradley Marchand,
Patrick Rabenold
Publication year - 2021
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/10.0005811
Subject(s) - sonar , computer science , clutter , synthetic aperture sonar , seabed , artificial intelligence , underwater , feature (linguistics) , segmentation , automatic target recognition , exploit , synthetic aperture radar , pattern recognition (psychology) , detector , marine mammals and sonar , computer vision , radar , geology , telecommunications , oceanography , linguistics , philosophy , computer security
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