Comparison of different algorithms for the improvement of the spatial resolution of images

Thierry Ranchin (1) , Lucien Wald (2)

1 CEP - Centre Énergétique et Procédés
2 CEP/Sophia

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.

Mots clés: data fusion; remote sensing; modelling

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Thierry Ranchin, Lucien Wald. Comparison of different algorithms for the improvement of the spatial resolution of images. Third conference "Fusion of Earth data: merging point measurements, raster maps and remotely sensed images", Jan 2000, Sophia Antipolis, France. pp.33-41. ⟨hal-00395050⟩