The Directory of Open Access Journals
DOAJ Logotype
Open
Global
Trusted
Main actions
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Search
Menu
Secondary actions
Search
Journals
Articles
Documentation
API
OAI-PMH
Widgets
Public data dump
OpenURL
XML
Metadata help
Preservation
About
About DOAJ
DOAJ at 20
DOAJ team
Ambassadors
Advisory Board & Council
Editorial Policy Advisory Group
Volunteers
News
Support
Institutions and libraries
Publishers
Institutional and library supporters
Apply
Application form
Guide to applying
The DOAJ Seal
Transparency & best practice
Publisher information
Licensing & copyright
Login
Login
Quick search
Close
×
Journals
Articles
Search by keywords:
In the field:
In all fields
Title
ISSN
Subject
Publisher
Country of publisher
Search
Frontiers in Earth Science
(May 2024)
Corrigendum: Seabed classification of multibeam echosounder data into bedrock/non-bedrock using deep learning
Rosa Virginia Garone,
Tor Inge Birkenes Lønmo,
Alexandre Carmelo Gregory Schimel,
Markus Diesing,
Terje Thorsnes,
Lasse Løvstakken
Affiliations
Rosa Virginia Garone
NTNU, Department of Circulation and Medical Imaging, Trondheim, Norway
Tor Inge Birkenes Lønmo
Kongsberg Discovery, Horten, Norway
Alexandre Carmelo Gregory Schimel
The Geological Survey of Norway (NGU), Trondheim, Norway
Markus Diesing
The Geological Survey of Norway (NGU), Trondheim, Norway
Terje Thorsnes
The Geological Survey of Norway (NGU), Trondheim, Norway
Lasse Løvstakken
NTNU, Department of Circulation and Medical Imaging, Trondheim, Norway
DOI
https://doi.org/10.3389/feart.2024.1415557
Journal volume & issue
Vol. 12
Abstract
Read online
No abstracts available.
Keywords
deep-learning
seabed
segmentation
multibeam
backscatter
bathymetry
WeChat QR code
Close