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

fYear

2007

fDate

23-28 July 2007

Firstpage

5138

Lastpage

5141

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.2007.4424018

Filename

4424018