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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2025) vom: 16. Okt.
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| 1. Verfasser: |
Tu, Bing
(VerfasserIn) |
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| Weitere Verfasser: |
He, Baoliang,
He, Yan,
Zhou, Tao,
Liu, Bo,
Li, Jun,
Plaza, Antonio |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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