Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 1, Issue 4, Pages 313-317Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2004.836784
Keywords
Data fusion; hypercomplex correlation; multispectral imagery; quality assessment; quaternions algebra; spectral distortion
Categories
Funding
- Italian Ministry of Education, University, and Research (MIUR)
- Italian Space Agency (ASI), ECOSAR
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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.
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