SEA FOG DETECTION BASED ON DYNAMIC THRESHOLD ALGORITHM AT DAWN AND DUSK TIME

7 citations as recorded by crossref.

1. Advanced Dual-Satellite Method for Detection of Low Stratus and Fog near Japan at Dawn from FY-4A and Himawari-8 J. Yang et al. 10.3390/rs13051042
2. Enhanced Seafog Detection Using Deep Learning and Contrastive Learning: Integrating Spectral and Motion Features M. Xu et al. 10.1109/TGRS.2025.3555525
3. MoANet: A Motion Attention Network for Sea Fog Detection in Time Series Meteorological Satellite Imagery Z. Yang et al. 10.1109/JSTARS.2023.3340909
4. Himawari-8 satellite detection of morning terrain fog in a subtropical region H. Ma et al. 10.1016/j.cliser.2025.100551
5. Daytime sea fog monitoring using multimodal self-supervised learning with band attention mechanism T. Li et al. 10.1007/s00521-022-07602-w
6. A scSE-LinkNet Deep Learning Model for Daytime Sea Fog Detection X. Guo et al. 10.3390/rs13245163
7. Weakly Supervised Sea Fog Detection in Remote Sensing Images via Prototype Learning Y. Huang et al. 10.1109/TGRS.2023.3323926