Hyperspectral Unmixing Via Nonconvex Sparse and Low-Rank Constraint
In recent years, sparse unmixing has attracted significant attention, as it can effectively avoid the bottleneck problems associated with the absence of pure pixels and the estimation of the number of endmembers in hyperspectral scenes. The joint-sparsity model has outperformed the single sparse unm...
| Main Authors: | , , , , , , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
IEEE
2020-01-01
|
| 叢編: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| 主題: | |
| 在線閱讀: | https://ieeexplore.ieee.org/document/9186270/ |