This work focuses on quality assessment of fusion of hyperspectral (HS) images with high-resolution panchromatic (Pan) data. A novel fidelity index suitable for HS images is defined from the theory of hypercomplex numbers (2 n-ons). Both spectral and spatial distortion measurements are encapsulated in a unique score index. Some fusion methods capable to selectively inject spatial-frequencies from the higher-resolution Pan image to the coarser HS bands are used for testing and comparisons. Experimental results are presented on Hyperion and ALI data sets.

A new method for quality assessment of hyperspectral images / Garzelli A.; Nencini F.; L. Alparone; Baronti S.. - STAMPA. - 1-12:(2007), pp. 5138-5141. (Intervento presentato al convegno 2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) tenutosi a Barcelona, SPAIN nel 23-28 July 2007) [10.1109/IGARSS.2007.4424018].

A new method for quality assessment of hyperspectral images

ALPARONE, LUCIANO;
2007

Abstract

This work focuses on quality assessment of fusion of hyperspectral (HS) images with high-resolution panchromatic (Pan) data. A novel fidelity index suitable for HS images is defined from the theory of hypercomplex numbers (2 n-ons). Both spectral and spatial distortion measurements are encapsulated in a unique score index. Some fusion methods capable to selectively inject spatial-frequencies from the higher-resolution Pan image to the coarser HS bands are used for testing and comparisons. Experimental results are presented on Hyperion and ALI data sets.
2007
SENSING AND UNDERSTANDING OUR PLANET
2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Barcelona, SPAIN
23-28 July 2007
Garzelli A.; Nencini F.; L. Alparone; Baronti S.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/781854
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