Self-Supervised Masked Graph Autoencoder for Hyperspectral Anomaly Detection
Hyperspectral image anomaly detection faces the challenge of difficulty in annotating anomalous targets. Autoencoder (AE)-based methods are widely used due to their excellent image reconstruction capability. However, traditional grid-based image representation methods struggle to capture long-range...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2025) vom: 16. Okt.
|
| Auteur principal: |
Tu, Bing
(Auteur) |
| Autres auteurs: |
He, Baoliang,
He, Yan,
Zhou, Tao,
Liu, Bo,
Li, Jun,
Plaza, Antonio |
| Format: | Article en ligne
|
| Langue: | English |
| Publié: |
2025
|
| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
| Sujets: | Journal Article |