Remote Sensing
雾感知渐进式恢复网络
Haze-aware progressive restoration networkA deep learning framework designed for remote sensing image dehazing that utilizes unsupervised contrastive learning to restore images progressively while being aware of haze conditions. / 一种用于遥感图像去雾的深度学习框架，利用无监督对比学习在感知雾气条件的同时渐进式恢复图像。
- Knowledge type
- 工艺技术
- First proposed or discovered
- 2027
- Proposer
- Sen Wang, Ming Zhao, Xining Yu, Jingwen Su, Fangfei Gu
- Creator
- 农场主
- Last updated
- 2026-11-02 21:05:30
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Main parameters and performance indicators
Haze-aware: awareness of haze conditionsProgressive: step-by-step restorationUnsupervised contrastive learning: training without labeled data
Open problems
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Related literature
ranked by community starsHAPR-net: haze-aware progressive restoration network via unsupervised contrastive learning for remote sensing image dehazingOpen source
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Creation and modification trail
1 recordsRecord title: Haze-aware progressive restoration network.
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