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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yifan Zhang |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China (Yifan Zhang) |
| Abstract | In this paper, an image restoration framework is presented, by using two available observations of specific spatial and spectral resolutions. The proposed approach employs an Expectation-Maximization (EM) algorithm based multi-band image restoration scheme, in which both observation models are used for restoration. Experimental results illustrate that the proposed restoration approach is capable of producing improved restored results, compared to existing restoration approaches, in which only one observation model is utilized while the other observation is treated as auxiliary. |
| Starting Page | 3509 |
| Ending Page | 3512 |
| File Size | 467856 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467311601 |
| ISSN | 21536996 |
| e-ISBN | 9781467311595 |
| e-ISBN | 9781467311588 |
| DOI | 10.1109/IGARSS.2012.6350663 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-22 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image restoration Spatial resolution Signal to noise ratio Gaussian noise Hyperspectral imaging spectral Expectation-Maximizition (EM) algorithm hyperspectral restoration spatial |
| Content Type | Text |
| Resource Type | Article |
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