Attention Subsumed Residual Dense Network for Reconstruction of Block Compressed Hyperspectral Images
Hyperspectral imagery is a rich source of spectral and spatial information and is widely used in domains such as remote sensing, environmental monitoring, and mineral exploration. However, processing and transmitting such high-dimensional data poses significant challenges due to the large volume and...
Gorde:
| Egile Nagusiak: | , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IEEE
2025-01-01
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| Saila: | IEEE Access |
| Gaiak: | |
| Sarrera elektronikoa: | https://ieeexplore.ieee.org/document/11267388/ |
| Etiketak: |
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