Name
Abstract | ||
|---|---|---|
•We propose a new bandwise sparse unmixing model.•The proposed bandwise model can take different intensities of Gaussian noise of all bands of HSI and different types of noise into consideration simultaneously.•We propose a novel sparse unmixing method based on the bandwise model (SUBM). |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2019.10.036 | Information Sciences |
Keywords | Field | DocType |
Sparse unmixing,Hyperspectral image (HSI),Bandwise model,Alternative direction method of multipliers (ADMM) | Pattern recognition,Hyperspectral imaging,Artificial intelligence,Impulse noise,Gaussian noise,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
512 | 0020-0255 | 1 |
PageRank | References | Authors |
0.40 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| chang li | 1 | 282 | 19.50 |
| Yu Liu | 2 | 492 | 30.80 |
| Juan Cheng | 3 | 62 | 11.53 |
| Rencheng Song | 4 | 15 | 6.03 |
| Jiayi Ma | 5 | 1302 | 65.86 |
| Chenhong Sui | 6 | 1 | 0.40 |
| Xun Chen | 7 | 458 | 52.73 |