Abstract | ||
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This paper presents a multiband image fusion algorithm based on unsupervised spectral unmixing for combining a high-spatial-low-spectral-resolution image and a low-spatial-high-spectral-resolution image. The widely used linear observation model (with additive Gaussian noise) is combined with the linear spectral mixture model to form the likelihoods of the observations. The nonnegativity and sum-to... |
Year | DOI | Venue |
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2016 | 10.1109/TGRS.2016.2598784 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Covariance matrices,Image fusion,Optimization,Spatial resolution,Mixture models,Sensors | Journal | 54 |
Issue | ISSN | Citations |
12 | 0196-2892 | 2 |
PageRank | References | Authors |
0.42 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qi Wei | 1 | 265 | 13.31 |
José M. Bioucas-Dias | 2 | 3565 | 173.67 |
Nicolas Dobigeon | 3 | 2070 | 108.02 |
Jean-Yves Tourneret | 4 | 1154 | 104.46 |
Marcus Chen | 5 | 30 | 5.41 |
Simon J. Godsill | 6 | 2162 | 280.66 |