广东海洋大学学报2025，Vol.45Issue(5)：34-42,9.DOI:10.3969/j.issn.1673-9159.2025.05.005
南海海域VIIRS瑞利校正反射率的耀斑校正方法
Sun Glint Correction of VIIRS Rayleigh Corrected Reflectance in the South China Sea
摘要
Abstract
[Objective]To mitigate the impact of sun glint interference that leads to water color information loss in ocean color satellite remote sensing,this study aims to establish the method for determining sun glint correction coefficients tailored to the South China Sea,in order to enhance the accuracy and stability of water color retrieval in sun glint-contaminated regions.[Method]Focusing on the South China Sea,a region where VIIRS imagery is highly susceptible to sun glint contamination,and starting from the baseline indices SS486,CI551,and SS671,a temporally matched dataset of sun glint-contaminated and sun glint-free VIIRS images over the same region was constructed.By maximizing the cosine similarity between the histograms of the baseline indices,the optimal and mean sun glint correction coefficients for each spectral band were determined.The variations in baseline index extraction before and after sun glint correction were then analyzed.[Results and Conclusion]Both the optimal-value and mean-value correction methods were effective in mitigating sun glint effects.The mean sun glint correction coefficients α(443),α(486),α(551),α(671),and α(745)were determined to be 0.75,0.83,0.89,0.95,and 0.94,respectively,and can be applied directly to VIIRS Rayleigh-corrected reflectance(Rrc)data in the South China Sea.The optimal-value method generally achieves higher correction accuracy,but it requires temporally matched sun glint-free reference imagery,imposing operational limitations.In contrast,the mean-value method is easier to implement and offers broader applicability.关键词
南海/太阳耀斑/VIIRS/瑞利校正反射率Key words
South China Sea/sun glint/VIIRS/Rayleigh-corrected reflectance分类
海洋科学引用本文复制引用
王炎,付东洋,陶邦一,刘贝,栾恬婧..南海海域VIIRS瑞利校正反射率的耀斑校正方法[J].广东海洋大学学报,2025,45(5):34-42,9.基金项目
国家重点研发计划(2022YFC3103101) （2022YFC3103101）
南方海洋科学与工程广东省实验室(广州)重大专项团队项目(GML2021GD0809) （广州）
广东省教育厅重点科研项目(2023ZDZX4009) （2023ZDZX4009）
