DPFNet: A Detail-Preserved Pyramid Fusion Network for Remote Sensing Image Dehazing
Remote sensing image dehazing is an important preprocessing step for improving the quality of optical imagery and ensuring reliable downstream applications. Most of existing (e.g., deep learning-based) approaches were developed based on synthetic hazy data (e.g., trained using simulated hazy images)...
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| Huvudupphov: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
IEEE
2026-01-01
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| Serie: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Ämnen: | |
| Länkar: | https://ieeexplore.ieee.org/document/11549960/ |
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