Comparison of different algorithms for the improvement of the spatial resolution of images
Résumé
This paper presents a comparison of the most frequently used methods for improving the spatial resolution of images. Several methods have been proposed for the merging of high spectral and high spatial resolution data in order to produce multispectral synthetic images having the highest spatial resolution available within the data set, and close to reality. The methods under consideration are Brovey transform, Intensity Hue Saturation (IHS), Principal Component Analysis (PCA), P+XS (from CNES) and four methods using the ARSIS concept, including the High-Pass Filtering (HPF). The duplication of pixels is also performed, in order to assess the benefits of fusion process. The present communication discusses the methods, their advantages and disadvantages.
Origine : Fichiers produits par l'(les) auteur(s)
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