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Spectral characteristics and feature selection of hyperspectral remote sensing data / X. Jiang in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 1 (January 2004) . - pp 51 - 59 Titre : Spectral characteristics and feature selection of hyperspectral remote sensing data Type de document : Article/Communication Auteurs : X. Jiang, Auteur ; L. Tanguy, Auteur Année de publication : 2004 Article en page(s) : pp 51 - 59 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification [Termes IGN] image hyperspectrale [Termes IGN] index spatial [Termes IGN] Pékin (Chine) [Termes IGN] signature spectrale [Termes IGN] spectromètre imageur Résumé : (Auteur) Hyperspectral remote sensing data with bandwidth of nanometre (nm) level have tens or even several hundreds of channels and contain abundant spectral information. Different channels have their own properties and show the spectral characteristics of various objects in image. Rational feature selection from the varieties of channels is very important for effective analysis and information extraction of hyperspectral data. This paper, taking Shunyi region of Beijing as a study area, comprehensively analysed the spectral characteristics of hyperspectral data. On the basis of analysing the information quantity of bands, correlation between different bands, spectral absorption characteristics of objects and object separability in bands, a fundamental method of optimum band selection and feature extraction from hyperspectral remote sensing data was proposed. Numéro de notice : A2004-035 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000115292 En ligne : https://doi.org/10.1080/0143116031000115292 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26563 [article]

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