Title :
A new method for quality assessment of hyperspectral images
Author :
Garzelli, Andrea ; Nencini, Filippo ; Alparone, Luciano ; Baronti, Stefano
Author_Institution :
DII-Univ. of Siena, Siena
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 (2n-ons). Both spectral and spatial distortion measurements are encapsulated in a unique score index. Some fusion methods capable to selectivity 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.
Keywords :
geophysical signal processing; geophysical techniques; image resolution; remote sensing; sensor fusion; spectral analysis; ALI data set; Hyperion data; fidelity index; high-resolution panchromatic data; hyperspectral images; image fusion; image quality assessment; score index; spatial distortion measurement; spectral distortion measurement; Distortion measurement; Hyperspectral imaging; Hyperspectral sensors; Image quality; Image resolution; Image sensors; Quality assessment; Sensor fusion; Spatial resolution; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4424018
