This paper 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 hypercomplex 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, by means of comparisons between state-of-the-art and advanced MS+Pan merge algorithms.
Alparone, L., Baronti, S., Garzelli, A., Nencini, F. (2005). A new method for quality assessment of MS plus Pan fusion of QuickBird and lkonos data. In NEW STRATEGIES FOR EUROPEAN REMOTE SENSING (pp.377-384). Rotterdam : MILLPRESS SCIENCE PUBLISHERS.
A new method for quality assessment of MS plus Pan fusion of QuickBird and lkonos data
GARZELLI, ANDREA;
2005-01-01
Abstract
This paper 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 hypercomplex 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, by means of comparisons between state-of-the-art and advanced MS+Pan merge algorithms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/44341
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