超光谱热红外数据通道选择方法在O_(3)和CH_(4)廓线反演中的应用  

Application of a channel-selection method on the retrieval of O_(3) and CH_(4) profiles from Ultra-Spectral Thermal Infrared Data

作　　者：姚微源 张贝贝 王宁 马灵玲 钱永刚 王新鸿 李传荣 唐伶俐 YAO Weiyuan;ZHANG Beibei;WANG Ning;MA Lingling;QIAN Yonggang;WANG Xinhong;LI Chuanrong;TANG Lingli(Key Laboratory of Quantitative Remote Sensing Information Technology,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China)

机构地区：[1]中国科学院空天信息创新研究院定量遥感信息技术重点实验室,北京100094

出　　处：《遥感学报》2024年第2期385-397,共13页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家重点研发专项(编号:2016YFB0500602)。

摘　　要：与高光谱热红外数据相比,超光谱热红外数据中包含了臭氧(O_(3))和甲烷(CH_(4))在大气垂直剖面上更多的状态信息,为提升O_(3)和CH_(4)廓线的反演精度提供了可能。然而,超光谱热红外数据通道之间的间隔较窄,这在给数据引入一些特有可反演信息的同时还引入了大量的相似信息,这些特征均无法被现有的基于高光谱热红外数据的通道选择方法识别。为了保证超光谱热红外数据反演O_(3)和CH_(4)廓线的效率和精度,我们提出了一种基于大气灵敏度和雅可比剖面的通道优选方法(OWSP法)。该方法首先通过分析通道对不同气体的灵敏度情况,优选出受其他气体干扰较小的通道为初选通道;其次,深度分析通道雅可比特征后提出了优化雅可比矩阵的策略,具体为将通道雅可比量化为表征通道信息容量的因素,并采用迭代的方法获取最终的通道选择结果。本文将OWSP方法应用在阿拉善、北京—天津、长江三角洲和珠江三角洲4个典型地区的冬夏季大气条件下,与常用的最佳灵敏度法(OSP法)相比,OWSP方法所选的通道集合中冗余信息少,同时也可以识别一些具有特殊有效信息但灵敏度相对较低且受其他干扰因素干扰较大的通道。反演结果进一步表明,在多数情况下,OWSP方法可以有效提升廓线的反演精度,O_(3)廓线的平均反演精度提高了9.30%,CH_(4)廓线的平均反演精度提高了4.90%。本文能为中国超光谱热红外载荷开发以及数据应用提供必要的技术支撑,具有重要的理论和应用价值。Compared with high-spectral thermal infrared data,ultra-spectral thermal infrared data contains enhanced atmospheric vertical information of ozone(O_(3))and methane(CH_(4)).This finding indicates the possibility to improve the accuracy of retrieved O_(3) and CH_(4) profiles.Due to the narrow channel intervals of the ultra-spectral thermal infrared data,abundant special information and redundant information is induced.However,information cannot be detected by channel-selection methods for high-spectral thermal infrared data,thereby impeding the superiority of ultra-spectral data for the retrieval of trace-gas profiles.As such,a novel channel-selection method based on the gas-sensitivity and weighting-function characteristics(OWSP)has been promoted,aiming to enhance the retrieval efficiency and accuracy of O_(3) and CH_(4) profiles from ultra-spectral thermal infrared data.The method comprises two steps.First,the sensitivities of the channels to different gases are analyzed,and the signal-to-interference ratio(rSTI)are obtained.On this basis,channels with abundant information for retrieved gas and insensitivity to other gases can be detected,which are taken as the initial channel group.Second,a strategy of optimizing the distribution of the weighting function is promoted based on the features of Jacobians to O_(3) and CH_(4).The channel information content can then be quantified by the optimized weighting function.An iterative approach is applied to select the optimal channel group to retrieve atmospheric profiles.In this paper,the promotion effect of OWSP method for O_(3) and CH_(4) profile retrieval from ultra-spectral thermal infrared data is evaluated by applying in the winter and summer atmospheric situation of the regions of Alxa Desert(AL),Beijing Tianjin district(JJ),Yangtze River Basin(YRD),and Pearl River Basin(PRD).The optimal sensitivity profile(OSP)method,which suggests good performance for high-spectral thermal infrared data in literature,is used in the control group.By comparing with the channel sele

关 键 词：遥感 热红外数据 超光谱 通道选择 雅可比 气体敏感性 O_(3)和CH_(4)廓线反演 

分 类 号：TP701[自动化与计算机技术—检测技术与自动化装置] P2[自动化与计算机技术—控制科学与工程]