This letter focuses on quality assessment of fusion of multispectral (MS) images with high-resolution panchromatic (Pan) observations. A new quality index suitable for MS imagery having four spectral bands is defined from the theory of hyper-complex numbers, or quaternions. Both spectral and radiometric distortion measurements are encapsulated in a unique measurement, simultaneously accounting for local mean bias, changes in contrast, and loss of correlation of individual bands, together with spectral distortion. Results are presented and discussed on very high-resolution QuickBird data, through comparisons between state-of-the-art and advanced MS+ Pan merge algorithms.
Alparone, L., Baronti, S., Garzelli, A., Nencini, F. (2004). A Global Quality Measurement of Pan-Sharpened Multispectral Imagery. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 1(4), 313-317 [10.1109/LGRS.2004.836784].
A Global Quality Measurement of Pan-Sharpened Multispectral Imagery
GARZELLI, ANDREA;
2004-01-01
Abstract
This letter focuses on quality assessment of fusion of multispectral (MS) images with high-resolution panchromatic (Pan) observations. A new quality index suitable for MS imagery having four spectral bands is defined from the theory of hyper-complex numbers, or quaternions. Both spectral and radiometric distortion measurements are encapsulated in a unique measurement, simultaneously accounting for local mean bias, changes in contrast, and loss of correlation of individual bands, together with spectral distortion. Results are presented and discussed on very high-resolution QuickBird data, through comparisons between state-of-the-art and advanced MS+ Pan merge algorithms.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/26587
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