dc.contributor.author | Magnusson, Magnus | |
dc.contributor.author | Sigurdsson, Jakob | |
dc.contributor.author | Armansson, Sveinn Eirikur | |
dc.contributor.author | Ülfarsson, Magnús Ö | |
dc.contributor.author | Deborah, Hilda | |
dc.contributor.author | Sveinsson, Johannes R. | |
dc.date.accessioned | 2021-03-11T10:32:55Z | |
dc.date.available | 2021-03-11T10:32:55Z | |
dc.date.created | 2021-03-10T10:16:31Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | IEEE International Geoscience and Remote Sensing Symposium proceedings. 2020 | en_US |
dc.identifier.issn | 2153-6996 | |
dc.identifier.uri | https://hdl.handle.net/11250/2732828 | |
dc.description.abstract | Hyperspectral images (HSI) are composed of hundreds of spectral bands, covering a broad range of the electromagnetic spectrum. However, images can only be visualized using three spectral channels for red, green, and blue (RGB) colors. Generating realistic RGB images using HSI is seldom the main focus of remote sensing researchers, and is therefore sometimes lacking. In this paper, we present an algorithm which creates realistic color images of HSI, using standardized methods. Research, conducted on the human perception of color in the 1920s culminated in the CIE 1931 XYZ color space. The algorithm maps every spectral band in the visible spectrum to the XYZ color space, using D65 as the reference illuminant, and then maps the XYZ to the sRGB (standard Red Green Blue) color space. The image is gamma-corrected and finally thresholded to improve contrast. The method was validated using two HSIs, creating realistic color images. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.title | Creating RGB Images from Hyperspectral Images Using a Color Matching Function | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.journal | IEEE International Geoscience and Remote Sensing Symposium proceedings | en_US |
dc.identifier.doi | 10.1109/IGARSS39084.2020.9323397 | |
dc.identifier.cristin | 1896881 | |
dc.relation.project | Norges forskningsråd: 274881 | en_US |
dc.description.localcode | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |