Toward Robust Hyperspectral Unmixing: Mixed Noise Modeling and Image-Domain Regularization
Hyperspectral (HS) unmixing is the process of decomposing an HS image into material-specific spectra (endmembers) and their spatial distributions (abundance maps). Existing unmixing methods have two limitations with respect to noise robustness. First, if the input HS image is highly noisy, even if t...
| 主要な著者: | , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
IEEE
2024-01-01
|
| シリーズ: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/10476645/ |