Name
Title | ||
|---|---|---|
Two-Step Constrained Nonlinear Spectral Mixture Analysis Method for Mitigating the Collinearity Effect. |
Abstract | ||
|---|---|---|
Spectral mixture analysis (SMA) is widely used to quantify the fraction of each component (endmember) of mixed pixels that contain spectral signals from more than one land surface type. Generally, nonlinear SMA (NSMA) outperforms linear SMA (LSMA) in the vegetation (tree, shrub, crop, and grass) and soil mixture case because NSMA considers the significant multiple scattering that exists for these ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2015.2506725 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Soil,Scattering,Vegetation,Vegetation mapping,Mathematical model,Maximum likelihood estimation | Mathematical optimization,Collinearity,Nonlinear system,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 5 | 0196-2892 |
Citations | PageRank | References |
2 | 0.37 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lei Ma | 1 | 89 | 26.24 |
| Jin Chen | 2 | 259 | 31.87 |
| Yuan Zhou | 3 | 12 | 2.50 |
| Xuehong Chen | 4 | 47 | 11.12 |