dc.contributor.author | Fortuna, João | |
dc.contributor.author | Martens, Harald | |
dc.contributor.author | Johansen, Tor Arne | |
dc.date.accessioned | 2021-09-01T06:59:13Z | |
dc.date.available | 2021-09-01T06:59:13Z | |
dc.date.created | 2020-11-06T14:50:49Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 0169-7439 | |
dc.identifier.uri | https://hdl.handle.net/11250/2772074 | |
dc.description.abstract | Hyperspectral cameras provide high spectral resolution data, but their usual low spatial resolution when compared to color (RGB) instruments is still a limitation for more detailed studies. This article presents a simple yet powerful method for fusing co-registered high spatial and low spectral resolution image data – e.g. RGB – with low spatial and high spectral resolution data – Hyperspectral. The proposed method exploits the overlap in observed phenomena by the two cameras to create a model through least square projections. This yields two images: 1) A high-resolution image spatially correlated with the input RGB image but with more spectral information than just the 3 RGB bands. 2) A low-resolution image showing the spectral information what is spatially uncorrelated with the RGB image. We show results for semi-artificial benchmark datasets and a real-world application. Performance metrics indicate the method is well suited for data enhancement. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Elsevier | en_US |
dc.title | Multivariate Image Fusion: A Pipeline For Hyperspectral Data Enhancement | en_US |
dc.type | Journal article | en_US |
dc.description.version | submittedVersion | en_US |
dc.source.volume | 205 | en_US |
dc.source.journal | Chemometrics and Intelligent Laboratory Systems | en_US |
dc.identifier.doi | 10.1016/j.chemolab.2020.104097 | |
dc.identifier.cristin | 1845694 | |
dc.relation.project | Norges forskningsråd: 270959 | en_US |
dc.relation.project | Norges forskningsråd: 223254 | en_US |
dc.description.localcode | © 2020. This is the authors’ manuscript to the article | en_US |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.qualitycode | 1 | |