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...
              Description complète
          
    
                  
        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 | 
|---|