DeCo-Despeckle: Unsupervised SAR Image Despeckling Through Content-Speckle Decoupling and Contrastive Learning
Synthetic aperture radar (SAR) imagery is inherently corrupted by multiplicative speckle, which degrades visual quality and impedes downstream interpretation. While deep learning has shown promise, supervised approaches require large-scale paired noisy-clean datasets that are difficult to acquire, a...
Gorde:
| Egile Nagusiak: | , , , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
IEEE
2025-01-01
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| Saila: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Gaiak: | |
| Sarrera elektronikoa: | https://ieeexplore.ieee.org/document/11219042/ |
| Etiketak: |
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