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Content Provider | IEEE Xplore Digital Library |
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Author | Zhang, Y. De Backer, S. Scheunders, P. |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Phys., Univ. of Antwerp, Antwerp (Zhang, Y.; De Backer, S.; Scheunders, P.) |
Abstract | In this work, a technique is presented for the fusion of multi-spectral (MS) and hyperspectral (HS) images to enhance the spatial resolution of the latter. The technique works in the wavelet domain, and is based on a Bayesian estimation of the HS image, assuming a joint normal model for the images, and an additive noise imaging model for the HS image. An appropriate estimation strategy is also proposed. The technique is compared to its counterpart in the spatial domain, and validated for noisy conditions. Further, its performance is compared to several state-of-the-art pansharpening techniques, in the case where the MS image becomes a panchromatic image, and to some MS and HS image fusion techniques from the literature. |
File Size | 755391 |
File Format | |
ISBN | 9781424428076 |
DOI | 10.1109/IGARSS.2008.4780029 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-07-07 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Bayesian methods Hyperspectral imaging Wavelet domain Spatial resolution Hyperspectral sensors Pixel Wavelet transforms Image resolution Image fusion Optical sensors wavelet Bayesian fusion multispectral image hyperspectral image |
Content Type | Text |
Resource Type | Article |
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