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Hyperspectral image resolution enhancement using high-resolution multispectral image based on spectral unmixing / Mohamed Amine Bendoumi in IEEE Transactions on geoscience and remote sensing, vol 52 n° 10 tome 2 (October 2014)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 52 n° 10 tome 2 (October 2014) . - pp 6574 - 6583 Titre : Hyperspectral image resolution enhancement using high-resolution multispectral image based on spectral unmixing Type de document : Article/Communication Auteurs : Mohamed Amine Bendoumi, Auteur ; Mingyi He, Auteur ; Shaohui Mei, Auteur Année de publication : 2014 Article en page(s) : pp 6574 - 6583 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] analyse des mélanges spectraux [Termes IGN] fusion d'images [Termes IGN] image hyperspectrale [Termes IGN] image multibande Résumé : (Auteur) In this paper, a hyperspectral (HS) image resolution enhancement algorithm based on spectral unmixing is proposed for the fusion of the high-spatial-resolution multispectral (MS) image and the low-spatial-resolution HS image (HSI). As a result, a high-spatial-resolution HSI is reconstructed based on the high spectral features of the HSI represented by endmembers and the high spatial features of the MS image represented by abundances. Since the number of endmembers extracted from the MS image cannot exceed the number of bands in least-squares-based spectral unmixing algorithm, large reconstruction errors will occur for the HSI, which degrades the fusion performance of the enhanced HSI. Therefore, in this paper, a novel fusion framework is also proposed by dividing the whole image into several subimages, based on which the performance of the proposed spectral-unmixing-based fusion algorithm can be further improved. Finally, experiments on the Hyperspectral Digital Imagery Collection Experiment and Airborne Visible/Infrared Imaging Spectrometer data demonstrate that the proposed fusion algorithms outperform other famous fusion techniques in both spatial and spectral domains. Numéro de notice : A2014-485 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2298056 En ligne : https://doi.org/10.1109/TGRS.2014.2298056 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74684 [article]

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