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Sub-pixel mapping and sub-pixel sharpening using neural network predicted wavelet coefficients / K.C. Mertens in Remote sensing of environment, vol 91 n° 2 (30/05/2004)

Public [article]  inRemote sensing of environment > vol 91 n° 2 (30/05/2004) . - pp 225 - 236 Titre : Sub-pixel mapping and sub-pixel sharpening using neural network predicted wavelet coefficients Type de document : Article/Communication Auteurs : K.C. Mertens, Auteur ; L.P.C. Verbeke, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 225 - 236 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes descripteurs IGN] accentuation de contours [Termes descripteurs IGN] classification par réseau neuronal [Termes descripteurs IGN] coefficient de corrélation [Termes descripteurs IGN] image à haute résolution [Termes descripteurs IGN] image de synthèse [Termes descripteurs IGN] ondelette [Termes descripteurs IGN] précision de la classification [Termes descripteurs IGN] précision infrapixellaire Résumé : (Auteur) Sub-pixel mapping and sub-pixel sharpening are techniques for increasing the spatial resolution of sub-pixel image classifications. The proposed method makes use of wavelets and artificial neural networks. Wavelet multiresolution analysis facilitates the link between different resolution levels. In this work a higher resolution image is constructed after estimation of the detail wavelet coefficients with neural networks. Detail wavelet coefficients are used to synthesize the high-resolution approximation. The applied technique allows for both sub-pixel sharpening and sub-pixel mapping. An algorithm was developed on artificial imagery and tested on artificial as well as real synthetic imagery. The proposed method resulted in images with higher spatial resolution showing more spatial detail than the source imagery. Evaluation of the algorithm was performed both visually and quantitatively using established classification accuracy indices. Numéro de notice : A2004-244 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26771 [article]

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