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

Thierry Ranchin; Lucien Wald

doi:10.1117/12.279691

30 October 1997 Data fusion of remotely sensed images using wavelet transform: the ARSIS solution

Thierry Ranchin, Lucien Wald

Proceedings Volume 3169, Wavelet Applications in Signal and Image Processing V; (1997) https://doi.org/10.1117/12.279691
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Thierry Ranchin and Lucien Wald "Data fusion of remotely sensed images using wavelet transform: the ARSIS solution", Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); https://doi.org/10.1117/12.279691

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