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Fusion of hyperspectral data using segmented PCT for color representation and classification / V. Tsagaris in IEEE Transactions on geoscience and remote sensing, vol 43 n° 10 (October 2005)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 43 n° 10 (October 2005) . - pp 2365 - 2375 Titre : Fusion of hyperspectral data using segmented PCT for color representation and classification Type de document : Article/Communication Auteurs : V. Tsagaris, Auteur ; V. Anastassopoulos, Auteur ; G.A. Lampropoulos, Auteur Année de publication : 2005 Article en page(s) : pp 2365 - 2375 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse en composantes principales [Termes IGN] classification dirigée [Termes IGN] coefficient de corrélation [Termes IGN] couleur à l'écran [Termes IGN] entropie [Termes IGN] fusion d'images [Termes IGN] image hyperspectrale [Termes IGN] image RVB [Termes IGN] partitionnement [Termes IGN] signature spectrale Résumé : (Auteur) Fusion of hyperspectral data is proposed by means of partitioning the hyperspectral bands into subgroups, prior to principal components transformation (PCT). The first principal component of each subgroup is employed for image visualization. The proposed approach is general, with the number of bands in each subgroup being application dependent. Nevertheless, the paper focuses on partitions with three subgroups suitable for RGB representation. One of them employs matched-filtering based on the spectral characteristics of various materials and is very promising for classification purposes. The information content of the hyperspectral bands as well as the quality of the obtained RGB images are quantitatively assessed using measures such as the correlation coefficient, the entropy, and the maximum energy-minimum correlation index. The classification performance of the proposed partitioning approaches is tested using the K-means algorithm. Numéro de notice : A2005-413 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.856104 En ligne : https://doi.org/10.1109/TGRS.2005.856104 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27549 [article]

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