dc.contributor.author | Hasler, Oliver Kevin | |
dc.contributor.author | Løvås, Håvard Snefjellå | |
dc.contributor.author | Bryne, Torleiv Håland | |
dc.contributor.author | Johansen, Tor Arne | |
dc.date.accessioned | 2024-02-12T13:21:10Z | |
dc.date.available | 2024-02-12T13:21:10Z | |
dc.date.created | 2024-01-02T20:06:02Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1095-323X | |
dc.identifier.uri | https://hdl.handle.net/11250/3117025 | |
dc.description.abstract | This paper presents a low-cost, low-weight setup for aerial imaging spectroscopy and an effective methodology for direct georeferencing onto the sea surface. The algorithm and the miniaturized payload described in this work promise great potential to increase the flexibility and versatility of small airborne image spectroscopy devices. This new method is a simplification when compared to existing methods. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.title | Direct georeferencing for Hyperspectral Imaging of ocean surface | en_US |
dc.title.alternative | Direct georeferencing for Hyperspectral Imaging of ocean surface | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © Copyright 2023 IEEE - All rights reserved. | en_US |
dc.source.journal | IEEE Aerospace Conference. Proceedings | en_US |
dc.identifier.cristin | 2219388 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |