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.
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