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Content Provider | IEEE Xplore Digital Library |
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Author | Garzelli, A. Nencini, F. Alparone, L. Aiazzi, B. Baronti, S. |
Copyright Year | 2004 |
Description | Author affiliation: Dept. of Inf. Eng., Siena Univ. (Garzelli, A.; Nencini, F.) |
Abstract | This paper critically reviews state of the art and advanced methods for multispectral (MS) and panchromatic (Pan) image fusion based on either intensity-hue-saturation (IHS) transformation, or redundant multiresolution analysis (MRA). In either case, lower-resolution MS bands are sharpened by injecting details taken from the higher-resolution Pan image. Crucial point is modeling the relationships between detail coefficients of a generic MS band and the Pan image at the same resolution. Once calculated at the coarser resolution, where both types of data are available, such a model shall be extended to the finer resolution to weight the Pan details to be injected. Two injection models embedded in an "a trous" wavelet decomposition will be compared on a test set of very high resolution QuickBird MS+Pan data. One works on approximations and provides a partial unmixing of coarse MS pixels via high-resolution Pan. Another is based on spectral fidelity of original and merged MS data. Fusion comparisons on spatially degraded data, whose high-resolution MS originals are available for reference, show that the former performs better than the latter, in terms of both spatial and spectral fidelity |
File Size | 336505 |
File Format | |
ISBN | 0780387422 |
DOI | 10.1109/IGARSS.2004.1368950 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-09-20 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Multispectral imaging Multiresolution analysis Image resolution Spatial resolution Principal component analysis Physics Councils Image fusion Testing Degradation |
Content Type | Text |
Resource Type | Article |
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