Name
Title | ||
|---|---|---|
Coupled Sparse Denoising and Unmixing With Low-Rank Constraint for Hyperspectral Image. |
Abstract | ||
|---|---|---|
Hyperspectral image (HSI) denoising is significant for correct interpretation. In this paper, a sparse representation framework that unifies denoising and spectral unmixing in a closed-loop manner is proposed. While conventional approaches treat denoising and unmixing separately, the proposed scheme utilizes spectral information from unmixing as feedback to correct spectral distortion. Both denois... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2015.2489218 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Noise reduction,Distortion,Encoding,Hyperspectral imaging,Couplings | Noise reduction,Computer vision,Pattern recognition,Neural coding,Sparse approximation,Hyperspectral imaging,Artificial intelligence,Distortion,Spectral signature,Mathematics,Encoding (memory),Spectral distortion | Journal |
Volume | Issue | ISSN |
54 | 3 | 0196-2892 |
Citations | PageRank | References |
16 | 0.59 | 35 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingxiang Yang | 1 | 170 | 7.94 |
| Yongqiang Zhao | 2 | 307 | 24.84 |
| Jonathan Cheung-Wai Chan | 3 | 155 | 18.46 |
| Seong G. Kong | 4 | 594 | 31.01 |