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A comparison study on fusion methods using evaluation indicators / V. Karanthanassi in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 2007)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 28 n° 10 (May 2007) . - pp 2309 - 2341 Titre : A comparison study on fusion methods using evaluation indicators Type de document : Article/Communication Auteurs : V. Karanthanassi, Auteur ; P. Kolokousis, Auteur ; S. Ioannidou, Auteur Année de publication : 2007 Article en page(s) : pp 2309 - 2341 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] fusion d'images [Termes IGN] indicateur [Termes IGN] limite de résolution spectrale [Termes IGN] rapport signal sur bruit [Termes IGN] transformation intensité-teinte-saturation Résumé : (Auteur) Various fusion methods have been developed for improving data spatial resolution. The methods most encountered in the literature are the intensity-hue-saturation (IHS) transform, the Brovey transform, the principal components algorithm (PCA) fusion method, the Gram-Schmidt fusion method, the local mean matching method, the local mean and variance matching method, the least square fusion method, the discrete wavelet fusion method including Daubechies, Symlet, Coiflet, biorthogonal spline, reverse biorthogonal spline, and Meyer wavelets, the wavelet-PCA fusion method, and the crossbred IHS and wavelet fusion method. Using various evaluation indicators such as two-dimensional correlation, relative difference of means, relative variation, deviation index, entropy difference, peak signal-to-noise ratio index and universal image quality index, as well as photo-interpretation methods and techniques, results of the above fusion methods were compared and comments on the fusion methods and potential of evaluation indicators were made. Among data fusion methods and indicators the local mean and variance matching methods proved the most efficient and the peak signal-to-noise ratio indicator proved the most appropriate for the evaluation of data fusion results. Copyright Taylor & Francis Numéro de notice : A2007-292 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600606890 En ligne : https://doi.org/10.1080/01431160600606890 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28655 [article]

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