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.

A new method for quality assessment of MS plus Pan fusion of QuickBird and lkonos data / Alparone, L; Baronti, S; Garzelli, A; Nencini, F. - STAMPA. - (2005), pp. 377-384. (Intervento presentato al convegno 24th Symposium of the European-Association-of-Remote-Sensing-Laboratories (EARSeL) tenutosi a Dubrovnik, CROATIA nel MAY 25-27, 2004).

A new method for quality assessment of MS plus Pan fusion of QuickBird and lkonos data

ALPARONE, LUCIANO;
2005

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.
2005
NEW STRATEGIES FOR EUROPEAN REMOTE SENSING
24th Symposium of the European-Association-of-Remote-Sensing-Laboratories (EARSeL)
Dubrovnik, CROATIA
MAY 25-27, 2004
Alparone, L; Baronti, S; Garzelli, A; Nencini, F
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1075474
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