| FY-4A卫星海域云图图像增强融合方法研究 |
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| 引用本文： | 尹锡帆,赵辉,孙文舟,郭晓明,蒋善伟,刘言志.FY-4A卫星海域云图图像增强融合方法研究[J].海洋测绘,2020,40(5):30-34. |
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| 作者姓名： | 尹锡帆 赵辉 孙文舟 郭晓明 蒋善伟 刘言志 |
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| 作者单位： | 海军海洋环境保障基地筹建办公室,福建厦门361001;92409部队,福建福州350007;东部战区气象海洋队,江苏南京210002 |
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| 基金项目： | 国家自然科学基金(41876103；41874016；41605051)；国防科技大学科研计划重点项目ZK17-02-010 |
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| 摘 要： | FY-4A卫星是我国目前最先进的气象卫星,为缓解光照对其可见光和红外云图影响,增强图像质量和显示细节,通过分析中央气象台发布的FY-4A卫星云图中可见光和红外云图资料,指出云图可见光和红外云图存在极强互补性的特征,提出一种基于灰度均值的自适应非线性Gamma图像增强融合方法。仿真实验结果指出利用本文方法得到的融合云图拥有显示云的更多细节和识别云层云类的特点。该方法有效性的验证,为21世纪海上丝绸之路气象预报保障提供了新的云图识别处理技术。
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| 关 键 词： | FY-4A卫星云图 非线性Gamma算法 图像增强融合 仿真分析 气象预报 |
Enhancement and Fusion Research of FY-4A Sea Area Cloud Images |
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| YIN Xifan,ZHAO Hui,SUN Wenzhou,GUO Xiaoming,JIANG Shanwei,LIU Yanzhi.Enhancement and Fusion Research of FY-4A Sea Area Cloud Images[J].Hydrographic Surveying and Charting,2020,40(5):30-34. |
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| Authors: | YIN Xifan ZHAO Hui SUN Wenzhou GUO Xiaoming JIANG Shanwei LIU Yanzhi |
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| Institution: | The Navy Marine Environmental Support Base Preparatory Office of PLA,Xiamen 361001 ,China;92409 Troops,Fuzhou 350007 ,China; Eastern Theater Meteorological Marine Team,Nanjing 210002 ,China |
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| Abstract: | FY-4A satellite is the most advanced meteorological satellite in China.In order to alleviate the influence of light on its visible and infrared cloud images,enhance the image quality and display details,based on the analysis of the Chinese Central Meteorological Station data of visible and infrared cloud images in FY-4A satellite cloud images,this paper points out that there is a strong complementarity between visible and infrared cloud images.We propose an adaptive nonlinear gamma image enhancement fusion method.The simulation results show that the fusion cloud image obtained by this method has the characteristics of displaying more details of cloud and identifying cloud classes.The validation of the method in this paper provides a new technology of cloud image recognition and processing for the meteorological forecast of the 21st century Maritime Silk Road. |
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