Data fusion of remotely sensed images using the wavelet transform : the ARSIS solution

Thierry Ranchin (1) , Lucien Wald (2)

1 CEP - Centre Énergétique et Procédés
2 CEP/Sophia

Earth Observation satellites are often considered to deliver a high spatial resolution image and a set of high spectral resolution images with a lower spatial resolution. Users often want to take advantage of both the high spatial and high spectral resolutions. The ARSIS concept was specially designed to fulfill this requirement and to produce high spectral resolution images with the best spatial resolution available in the set of images with respect to the original spectral content. This concept is based on the wavelet transform and the multiresolution analysis. In this paper, the concept is presented and the different parameters are discussed. Examples of application of ARSIS to real case- studies are provided. Perspectives of use of such a concept are proposed and the benefits to user discussed.

Domaines: Planète et Univers [physics]; Sciences de la Terre; Sciences de l'environnement; Sciences de l'Homme et Société; Géographie; Sciences de l'ingénieur [physics]; Traitement du signal et de l'image [eess.SP]; Informatique [cs]; Traitement du signal et de l'image [eess.SP]

Thierry Ranchin, Lucien Wald. Data fusion of remotely sensed images using the wavelet transform : the ARSIS solution. SPIE Annual Meeting, International Symposium on Optical Science, Engineering and Instrumentation, Jul 1997, San Diego, California, USA, United States. pp.272-280. ⟨hal-00466625⟩