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Optical Techniques for Hyperspectral Imaging of the Seafloor

Løvås, Håvard Snefjellå
Doctoral thesis
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Håvard Snefjellå Løvås PhD (43.55Mb)
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URI
https://hdl.handle.net/11250/3089159
Date
2023
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  • Institutt for marin teknikk [3315]
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J1: Løvås, Håvard; Mogstad, Aksel Alstad; Sørensen, Asgeir Johan; Johnsen, Geir. A Methodology for Consistent Georegistration in Underwater Hyperspectral Imaging. IEEE Journal of Oceanic Engineering 2021 ;Volum 47.(2) s. 331-349 https://doi.org/10.1109/JOE.2021.3108229

J2: Mogstad, Aksel Alstad; Løvås, Håvard; Sture, Øystein; Johnsen, Geir; Ludvigsen, Martin. Remote Sensing of the Tautra Ridge: An Overview of the World’s Shallowest Cold-Water Coral Reefs. Frontiers in Marine Science 2022 ;Volum 9. https://doi.org/10.3389/fmars.2022.848888 This is an openaccess article distributed under the terms of the Creative Commons Attribution License (CC BY).

J3: Løvås, Håvard Snefjellå; Hasler, Oliver Kevin; Langer, Dennis David; Sørensen, Asgeir Johan. Coregistration of Hyperspectral Imagery With Photogrammetry for Shallow-Water Mapping. IEEE Transactions on Geoscience and Remote Sensing 2023 ;Volum 61 https://doi.org/10.1109/TGRS.2023.3262968

J4: Løvås, Håvard Snefjellå; Larsen, Marin Kvisvik; Pizarro, Oscar; Sørensen, Asgeir J. A semi-analytical model for deep-water hyperspectral imaging Preprint ID 107384 - Optica Open

J5: Summers, Natalie; Johnsen, Geir; Mogstad, Aksel Alstad; Løvås, Håvard; Fragoso, Glaucia Moreira; Berge, Jørgen. Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System. Remote Sensing 2022 ;Volum 14.(6) https://doi.org/10.3390/rs14061325 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY)

C1: Løvås, Håvard Snefjellå; Sørensen, Asgeir Johan; Ludvigsen, Martin. Framework for Combining Multiple Lightweight Underwater Vehicles into Super Underwater Vehicle. I: 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV). https://doi.org/10.1109/AUV50043.2020.9267887
Publisher
NTNU
Series
Doctoral theses at NTNU;2023:267

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