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

Thierry Ranchin; Lucien Wald; Marc Mangolini

doi:10.1117/12.162060

1 November 1993 Efficient data fusion using wavelet transform: the case of SPOT satellite images

Thierry Ranchin, Lucien Wald, Marc Mangolini

Proceedings Volume 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing; (1993) https://doi.org/10.1117/12.162060
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Thierry Ranchin, Lucien Wald, and Marc Mangolini "Efficient data fusion using wavelet transform: the case of SPOT satellite images", Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); https://doi.org/10.1117/12.162060

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