Title :
A global quality measurement of pan-sharpened multispectral imagery
Author :
Alparone, Luciano ; Baronti, Stefano ; Garzelli, Andrea ; Nencini, Filippo
Author_Institution :
Dept. of Electron. & Telecommun., Univ. of Florence, Italy
Abstract :
This letter focuses on quality assessment of fusion of multispectral (MS) images with high-resolution panchromatic (Pan) observations. A new quality index suitable for MS imagery having four spectral bands is defined from the theory of hypercomplex numbers, or quaternions. Both spectral and radiometric distortion measurements are encapsulated in a unique measurement, simultaneously accounting for local mean bias, changes in contrast, and loss of correlation of individual bands, together with spectral distortion. Results are presented and discussed on very high-resolution QuickBird data, through comparisons between state-of-the-art and advanced MS+Pan merge algorithms.
Keywords :
data acquisition; image sensors; remote sensing by radar; sensor fusion; MS imagery; contrast changing; global quality measurement; high resolution QuickBird data; high resolution panchromatic observations; hyper complex number theory; local mean bias; multispectral image fusion; pan-sharpened multispectral imagery; quality assessment; quality index; quaternion theory; radiometric distortion; spectral bands; spectral distortion; Discrete wavelet transforms; Distortion measurement; Filter bank; Loss measurement; Multiresolution analysis; Multispectral imaging; Quality assessment; Quaternions; Radiometry; Spatial resolution; Data fusion; hypercomplex correlation; multispectral imagery; quality assessment; quaternions algebra; spectral distortion;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2004.836784