Comparison of different algorithms for the improvement of the spatial resolution of imagesReportar como inadecuado




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1 CEP - Centre Énergétique et Procédés 2 CEP-Sophia CEP - Centre Énergétique et Procédés

Abstract : 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.

keyword : data fusion remote sensing modelling





Autor: Thierry Ranchin - Lucien Wald -

Fuente: https://hal.archives-ouvertes.fr/



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