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Martin Ludvigsen
Martin Ludvigsen
Professor Department of Marine Technology NTNU
在 ntnu.no 的电子邮件经过验证
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引用次数
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Phenotype-Specific Bacterial Communities in the Cold-Water Coral Lophelia pertusa (Scleractinia) and Their Implications for the Coral's Nutrition, Health, and …
SC Neulinger, J Järnegren, M Ludvigsen, K Lochte, WC Dullo
Applied and Environmental Microbiology 74 (23), 7272-7285, 2008
1332008
Towards integrated autonomous underwater operations for ocean mapping and monitoring
M Ludvigsen, AJ Sørensen
Annual Reviews in Control 42, 145-157, 2016
1162016
Applications of geo-referenced underwater photo mosaics in marine biology and archaeology
M Ludvigsen, B Sortland, G Johnsen, H Singh
Oceanography 20 (4), 140-149, 2007
1132007
Use of an autonomous surface vehicle reveals small-scale diel vertical migrations of zooplankton and susceptibility to light pollution under low solar irradiance
M Ludvigsen, J Berge, M Geoffroy, JH Cohen, PR De La Torre, ...
Science Advances 4 (1), eaap9887, 2018
1072018
Underwater hyperspectral imagery to create biogeochemical maps of seafloor properties
G Johnsen, Z Volent, H Dierssen, R Pettersen, M Van Ardelan, F Søreide, ...
Subsea optics and imaging, 508-540e, 2013
982013
First hyperspectral imaging survey of the deep seafloor: High-resolution mapping of manganese nodules
I Dumke, SM Nornes, A Purser, Y Marcon, M Ludvigsen, SL Ellefmo, ...
Remote Sensing of Environment 209, 19-30, 2018
972018
The use of underwater hyperspectral imaging deployed on remotely operated vehicles-methods and applications
G Johnsen, M Ludvigsen, A Sørensen, LMS Aas
IFAC-PapersOnLine 49 (23), 476-481, 2016
922016
Tissue-Associated “Candidatus Mycoplasma corallicola” and Filamentous Bacteria on the Cold-Water Coral Lophelia pertusa (Scleractinia)
SC Neulinger, A Gärtner, J Järnegren, M Ludvigsen, K Lochte, ...
Applied and Environmental Microbiology 75 (5), 1437-1444, 2009
902009
Dynamic positioning system for a small size ROV with experimental results
F Dukan, M Ludvigsen, AJ Sørensen
OCEANS 2011 IEEE-Spain, 1-10, 2011
762011
Toward adaptive robotic sampling of phytoplankton in the coastal ocean
TO Fossum, GM Fragoso, EJ Davies, JE Ullgren, R Mendes, G Johnsen, ...
Science Robotics 4 (27), eaav3041, 2019
682019
Scientific operations combining ROV and AUV in the Trondheim Fjord
M Ludvigsen, G Johnsen, AJ Sørensen, PA Lågstad, Ø Ødegård
Marine Technology Society Journal 48 (2), 59-71, 2014
672014
Underwater hyperspectral imaging as an in situ taxonomic tool for deep-sea megafauna
I Dumke, A Purser, Y Marcon, SM Nornes, G Johnsen, M Ludvigsen, ...
Scientific reports 8 (1), 12860, 2018
662018
Information‐driven robotic sampling in the coastal ocean
TO Fossum, J Eidsvik, I Ellingsen, MO Alver, GM Fragoso, G Johnsen, ...
Journal of Field Robotics 35 (7), 1101-1121, 2018
562018
Shallow-water habitat mapping using underwater hyperspectral imaging from an unmanned surface vehicle: A pilot study
AA Mogstad, G Johnsen, M Ludvigsen
Remote Sensing 11 (6), 685, 2019
472019
Underwater photogrammetric mapping of an intact standing steel wreck with ROV
SM Nornes, M Ludvigsen, Ø Ødegard, AJ SØrensen
IFAC-PapersOnLine 48 (2), 206-211, 2015
462015
Underwater hyperspectral imaging: A new tool for marine archaeology
Ø Ødegård, AA Mogstad, G Johnsen, AJ Sørensen, M Ludvigsen
Applied optics 57 (12), 3214-3223, 2018
452018
Autonomous underwater vehicles as a platform for underwater hyperspectral imaging
Ø Sture, M Ludvigsen, LMS Aas
Oceans 2017-Aberdeen, 1-8, 2017
412017
A new method for underwater archaeological surveying using sensors and unmanned platforms
Ø Ødegård, AJ Sørensen, RE Hansen, M Ludvigsen
IFAC-PapersOnLine 49 (23), 486-493, 2016
362016
Development of dynamic positioning and tracking system for the ROV Minerva
AJ Sørensen, F Dukan, M Ludvigsen, DA Fernandes, M Candeloro
Further advances in unmanned marine vehicles 77, 113-128, 2012
352012
Mapping the historical shipwreck figaro in the high arctic using underwater sensor-carrying robots
AA Mogstad, Ø Ødegård, SM Nornes, M Ludvigsen, G Johnsen, ...
Remote Sensing 12 (6), 997, 2020
342020
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