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.

Alparone, L., Baronti, S., Garzelli, A., Nencini, F. (2007). A New Method for Quality Assessment of Hyperspectral Images. In Proc. IEEE IGARSS 2007 (pp.5138-5141). IEEE [10.1109/IGARSS.2007.4424018].

A New Method for Quality Assessment of Hyperspectral Images

GARZELLI, ANDREA;
2007-01-01

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
978-1-4244-1211-2
Alparone, L., Baronti, S., Garzelli, A., Nencini, F. (2007). A New Method for Quality Assessment of Hyperspectral Images. In Proc. IEEE IGARSS 2007 (pp.5138-5141). IEEE [10.1109/IGARSS.2007.4424018].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/5193
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