Deep-learning-based detection of underwater fluids in multiple multibeam echosounder data

Deep-learning-based detection of underwater fluids in multiple multibeam echosounder data

Detecting and locating emitted fluids in the water column is necessary for studying margins, identifying natural resources, and preventing geohazards. Fluids can be detected in the water column using multibeam echosounder data. However, manually analyzing the huge volume of this data for geoscientis...

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Bibliographic Details
Main Authors: Tyméa Perret, Gilles Le Chenadec, Arnaud Gaillot, Yoann Ladroit, Stéphanie Dupré
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Remote Sensing
Subjects:
multibeam echo sounder (MBES)
water column data
fluid detection
automated processing
deep learning
YOLO (you only look once)
Online Access:https://www.frontiersin.org/articles/10.3389/frsen.2025.1532714/full
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https://www.frontiersin.org/articles/10.3389/frsen.2025.1532714/full

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