| 红外大气垂直探测通道优选方法的发展 |
| 投稿时间：2019-06-04 修订日期：2019-06-10 点此下载全文 |
| 引用本文：宋慈,尹球,谢亚楠.红外大气垂直探测通道优选方法的发展[J].红外,2019,40(6):18~26 |
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| 基金项目:国家自然科学基金(11701595)；中国气象局专项业务项目预测预报业务(2200508) |
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| 中文摘要:总结了红外大气探测技术从滤光片式、光栅式到干涉式，从多光谱到高光谱的发展历程，阐述了探测通道优选的必要性。就国内外学者在大气垂直探测通道优选方面所做的工作进行了系统分析，包括基于信息熵的方法、基于权函数矩阵的方法和基于误差矢量的方法。从数学模型和物理含义角度分析了各方法的原理、特点及发挥的作用，比较了各方法的差异和优缺点。该研究可为红外大气垂直探测通道优选方法的合理选用提供支持，同时为红外大气垂直探测通道优选方法的进一步发展奠定基础。随着我国FY-4A静止气象卫星及FY-3D极轨气象卫星的发射，本文结果将为我国风云（FY）卫星红外高光谱大气垂直探测数据应用以及仪器的设计和发展提供支持，同时也为充分发挥我国风云（FY）气象卫星红外高光谱大气垂直探测技术的应用效益添砖加瓦。 |
| 中文关键词:通道优选 红外高光谱 大气垂直探测 信息熵 雅可比矩阵 误差矢量 |
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| Development of Channel Selection Methods for Infrared Atmospheric Vertical Sounding |
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| Abstract:The development process of infrared atmospheric sounding technology from filter type, grating type to interference type, from multi spectrum to hyper-spectrum is summarized, and the necessity of optimal channel selection is expounded. Domestic and foreign scholars have done a lot of work on channel selection of atmospheric vertical detection, including methods based on information entropy, Jacobi and error vector, which is summarized systematically in the paper. Furthermore, the principles, characteristics and application of each method are analyzed from the view of mathematical model and physical implication, and the differences, advantages and disadvantages of various methods are compared, which provides supports for the reasonable choice of channel selection methods as well as lays foundation for the further development of channel selection methods for infrared atmospheric vertical sounding. With the launch of FY-4A geostationary meteorological satellite and FY-3D polar orbit meteorological satellite in China, the result will provide support for the data application of infrared hyperspectral atmospheric vertical sounding, instrument design and development of FY satellites in China. At the same time, it also contributes to the application of FY meteorological satellite′s infrared hyperspectral atmospheric vertical sounding in China. |
| keywords:channel selection infrared hyperspectral atmospheric vertical sounding information entropy Jacobi matrix error vector |
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