Endmember Independence and Bilateral Filtering Regularizations for Blind Hyperspectral Unmixing
Hyperspectral unmixing (HU) aims to decompose the mixed pixels of a hyperspectral image into endmembers weighted by their corresponding abundances. Recently, matrix–vector nonnegative tensor factorization (MV-NTF) has been successfully applied to HU, primarily due to its ability to effectivel...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
IEEE
2025-01-01
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| Серии: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Предметы: | |
| Online-ссылка: | https://ieeexplore.ieee.org/document/11147175/ |
| Метки: |
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