Centre de documentation
scientifique

Attraction-repulsion model-based subpixel mapping of multi-/hyperspectral imagery / Xiaohua Tong in IEEE Transactions on geoscience and remote sensing, vol 51 n° 5 Tome 1 (May 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 5 Tome 1 (May 2013) . - pp 2799 - 2814 Titre : Attraction-repulsion model-based subpixel mapping of multi-/hyperspectral imagery Type de document : Article/Communication Auteurs : Xiaohua Tong, Auteur ; Xue Zhang, Auteur ; Jie Shan, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 2799 - 2814 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] affinage d'image [Termes IGN] analyse infrapixellaire [Termes IGN] décomposition du pixel [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] programmation linéaire [Termes IGN] reconstruction d'image Résumé : (Auteur) This paper presents a new subpixel mapping method based on subpixel attraction-repulsion. The proposed method is formulated as an optimization problem with respect to attraction-repulsion among subpixels and is used to reconstruct a finer spatial resolution image from a lower resolution one. A comprehensive experiment is conducted to demonstrate the performance of the proposed method, by comparing it with the other three existing subpixel mapping methods, i.e., linear optimization, pixel swapping and spatial attraction model methods. In the experiment, both a synthetic image with known fractional abundances and an EO-1 Hyperion hyperspectral image of Shanghai were used to evaluate performances of the subpixel mapping methods. The experimental result shows that by using spatial dependence with attraction between the same types of ground objects and repulsion between different types of these objects, the proposed subpixel mapping method achieves a better performance on subpixel mapping than the other three methods Numéro de notice : A2013-257 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2218612 En ligne : https://doi.org/10.1109/TGRS.2012.2218612 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32395 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-2013051A	RAB	Revue	Centre de documentation	En réserve L003	Disponible