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...
| Autors principals: | , |
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| Format: | Article |
| Idioma: | English |
| Publicat: |
IEEE
2024-01-01
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| Col·lecció: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/10476645/ |