Name
Title | ||
|---|---|---|
Noise-Resistant Wavelet-Based Bayesian Fusion of Multispectral and Hyperspectral Images |
Abstract | ||
|---|---|---|
In this paper, a technique is presented for the fusion of multispectral (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. In the complete model, an operator is defined, d... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TGRS.2009.2017737 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Bayesian methods,Hyperspectral imaging,Spatial resolution,Degradation,Wavelet domain,Additive noise,Deconvolution,Interpolation,Image resolution,Image fusion | Image fusion,Computer science,Remote sensing,Image processing,Deconvolution,Artificial intelligence,Wavelet,Wavelet transform,Computer vision,Pattern recognition,Multispectral image,Hyperspectral imaging,Image resolution | Journal |
Volume | Issue | ISSN |
47 | 11 | 0196-2892 |
Citations | PageRank | References |
56 | 2.11 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yifan Zhang | 1 | 101 | 8.92 |
| Steve De Backer | 2 | 200 | 15.14 |
| Paul Scheunders | 3 | 1190 | 102.87 |