Efficient data fusion using wavelet transform: the case of SPOT satellite images

Thierry Ranchin (1) , Lucien Wald (2) , Marc Mangolini (3)

1 CEP - Centre Énergétique et Procédés
2 CEP/Sophia
3 Service Télédétection

A way of increasing the spatial resolution of SPOT multispectral images (XS) using the corresponding panchromatic image (P) is presented here. Existing methods for merging P and XS are analyzed, before presenting a new method which aims at simulating 10 m resolution multispectral images that contain the same spectral information at the XS images. This method, called ARSIS after its French name 'Amelioration de la Resolution Spatiale par Injection de Structures', is based upon multiresolution analysis and wavelet transform. Different versions have been implemented, which differ on the model that describes the similarity of the spatial variability on P and XS. ARSIS can also be applied to other sensors, featuring different spectral bands and spatial resolutions.

Mots clés: Remote sensing; Wavelet transform; Earth observation; Image processing

Domaines: Sciences de la Terre; Sciences de l'environnement; Géographie; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Thierry Ranchin, Lucien Wald, Marc Mangolini. Efficient data fusion using wavelet transform: the case of SPOT satellite images. Proceedings of the SPIE's 1993 Int. Symp. on Optics, Imaging and Instrumentation, Jul 1993, San Diego, California, USA, United States. pp.171-178. ⟨hal-00466627⟩