摘要
由于高光谱大气红外探测器(AIRS)有2378个通道,如何从众多的通道中提取主要的有用信息。针对这点,文中提出了基于主成分累计影响系数的通道选择方法。首先,进行通道的预处理。然后,考虑白天的通道组合,分别对温度和湿度雅可比矩阵进行主成分分析,得到每个通道对主成分的累计影响系数,根据累计影响系数的大小,进行通道排序。最后,考虑夜晚的通道组合,加入受太阳光影响的通道。最终得到白天和夜晚的入选通道子集。进行温度和湿度廓线反演的实验表明,该方法用于通道选择是可行的。
Since the hyper-spectral atmospheric infrared sounder（AIRS）has 2 378 channels,it is essential to select the main useful information from all those channels.The paper proposes a method of channel selection based on the cumulative effect coefficient of principal component.Firstly,it was the pre-processing of the channels.Then,for the channels＇ combination during the daytime,the principal component analysis of temperature and humidity＇s Jacobi was made respectively to get the cumulative effect coefficient of each channel on the principal component.Finally,for the channels＇ combination during the nighttime,the channels affected by sunlight were added in.Thus,the subset of selected channels both during the daytime and nighttime was obtained.It is shown that the method is feasible according to the profile retrieval experiments of temperature and humidity.
出处
《大气科学学报》
CSCD
北大核心
2011年第1期36-42,共7页
Transactions of Atmospheric Sciences
基金
国家高新技术研究发展计划(863计划)(2007AA12Z140)
国家重点基础研究发展计划(973计划)(2009CB421502)
关键词
高光谱
AIRS
通道选择
雅可比矩阵
主成分分析
累计影响系数
hyper-spectral
atmospheric infrared sounder
channel selection
Jacobi Matrix
principal component analysis
cumulative effect coefficient
