Spectral Information Extraction by Means of MS+Pan Fusion

Statistics – Applications

Scientific paper

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Scientific paper

This paper deals with multi-spectral (MS) and panchromatic (Pan) image fusion based on redundant multiresolution analysis (MRA). Lower-resolution MS bands are sharpened by injecting high-pass details taken from the higher-resolution Pan image. Crucial point is modelling the relationships between detail coefficients of a generic MS band and the Pan image at the same resolution. Once calculated at the coarser resolution, where both types of data are available, such a model shall be extended to the finer resolution to weight the Pan details to be injected. Two injection models embedded in an "`a trous' wavelet decomposition will be described and compared on a test set of very high resolution QuickBird MS+Pan data. One works on approximations and provides a partial unmixing of coarse MS pixels via high-resolution Pan. Another is based on spectral fidelity of the merged image to the original MS data. Fusion comparisons on spatially degraded data, of which higher-resolution true MS data are available for reference, show that the former yields better results than the latter, in terms of both spatial and spectral fidelity.

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