Name
Title | ||
|---|---|---|
Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability. |
Abstract | ||
|---|---|---|
Spectral unmixing is one of the main research topics in hyperspectral imaging. It can be formulated as a source separation problem, whose goal is to recover the spectral signatures of the materials present in the observed scene (called endmembers) as well as their relative proportions (called fractional abundances), and this for every pixel in the image. A linear mixture model (LMM) is often used ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIP.2016.2579259 | IEEE Transactions on Image Processing |
Keywords | DocType | Volume |
Optimization,Estimation,Algorithm design and analysis,Hyperspectral imaging,Smoothing methods,Image color analysis | Conference | 25 |
Issue | ISSN | Citations |
8 | 1057-7149 | 35 |
PageRank | References | Authors |
1.26 | 24 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| lucas drumetz | 1 | 51 | 8.63 |
| Miguel Angel Veganzones | 2 | 122 | 10.58 |
| Simon Henrot | 3 | 70 | 4.62 |
| Ronald Phlypo | 4 | 190 | 16.73 |
| Jocelyn Chanussot | 5 | 4145 | 272.11 |
| Christian Jutten | 6 | 2925 | 439.04 |