End-to-End Convolutional Autoencoder for Nonlinear Hyperspectral Unmixing
Hyperspectral Unmixing is the process of decomposing a mixed pixel into its pure materials (endmembers) and estimating their corresponding proportions (abundances). Although linear unmixing models are more common due to their simplicity and flexibility, they suffer from many limitations in real worl...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2022-07-01
|
| Sarja: | Remote Sensing |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2072-4292/14/14/3341 |
| Tagit: |
Ei tageja, Lisää ensimmäinen tagi!
|