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Sensitivity analysis of pansharpening in hyperspectral change detection / Seyd Teymoor Seydi in Applied geomatics, vol 10 n° 1 (March 2018)  

Public [article]  inApplied geomatics > vol 10 n° 1 (March 2018) . - pp 65 - 75 Titre : Sensitivity analysis of pansharpening in hyperspectral change detection Type de document : Article/Communication Auteurs : Seyd Teymoor Seydi, Auteur ; Mahdi Hasanlou, Auteur Année de publication : 2018 Article en page(s) : pp 65 - 75 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse de sensibilité [Termes IGN] analyse en composantes principales [Termes IGN] détection de changement [Termes IGN] image EO1-ALI [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] pansharpening (fusion d'images) Résumé : (Auteur) Change detection (CD) is one of the most important uses of remote sensing, and it plays a key role in many applications. Satellite hyperspectral imagery has a high spectral resolution but low spatial resolution, which results in images with mixed pixels. To improve spatial resolution in hyperspectral images, multiresolution fusion techniques must be used, one which is called pansharpening (PS). This paper investigates the sensitivity and performance of CD methods by fusing Advanced Land Imager and Hyperion datasets based on a PS algorithm. Three different CD algorithms are used here for that purpose: cross-covariance (CC), cross equalization (CE), and principal component analysis (PCA). In addition, Gram-Schmidt (GS), HySure, and PCA are utilized as the PS methods of choice. The CD results obtained from both the original hyperspectral data and from the spatially fused data are compared to reveal the potential of PS in CD applications. Furthermore, the presented procedure also shows that the HySure method in particular yields good results for the CD. Numéro de notice : A2018-158 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12518-018-0206-6 Date de publication en ligne : 21/02/2018 En ligne : https://doi.org/10.1007/s12518-018-0206-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89778 [article]