dc.contributor.author | Courtier, Guillaume | |
dc.contributor.author | Lapray, Pierre-Jean | |
dc.contributor.author | Thomas, Jean Baptiste | |
dc.contributor.author | Farup, Ivar | |
dc.date.accessioned | 2021-02-11T11:56:46Z | |
dc.date.available | 2021-02-11T11:56:46Z | |
dc.date.created | 2021-01-04T10:38:11Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | https://hdl.handle.net/11250/2727416 | |
dc.description.abstract | Recent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to describe the related image statistics. In particular, in this article, we present observations for different correlations between spectropolarimetric channels. The analysis is performed on several publicly available databases that are unified for joint processing. We perform global investigation and analysis on several specific clusters of materials or reflection types. We observe that polarization channels generally have more inter-channel correlation than the spectral channels. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Correlations in Joint Spectral and Polarization Imaging | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.journal | Sensors | en_US |
dc.identifier.doi | 10.3390/s21010006 | |
dc.identifier.cristin | 1864605 | |
dc.description.localcode | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |