This paper critically reviews state-of-the-art and advanced methods for multispectral (MS) and panchromatic (Pan) image fusion based on either intensity-hue-saturation (IHS) transformation, or redundant multiresolution analysis (MRA). In either cases, lower-resolution MS bands are sharpened by injecting details taken from the higher-resolution Pan image. Crucial point is modeling 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 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 original and merged MS data. Fusion comparisons on spatially degraded data, whose high-resolution MS originals are available for reference, show that the former performs better than the latter, in terms of both spatial and spectral fidelity.
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|Titolo:||Spectral information extraction from very high resolution images through multiresolution fusion|
|Citazione:||Alparone, L., Aiazzi, B., Baronti, S., Garzelli, A., Nencini, F., & Selva, M. (2004). Spectral information extraction from very high resolution images through multiresolution fusion. In Proc.SPIE 5573 (pp.1-8). SPIE.|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|
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