高分辨折反式红外探测系统光学设计

在红外探测中,传统红外焦平面阵列以及单像元扫描式探测器的像元难以分辨更精细的红外光强分布,为了提高红外探测的分辨能力,采用灵敏度高且可以将红外光分布转化为可见光分布的碳纳米管薄膜作为红外激光的接收器,把红外光探测转化为可见光探测,并以此为基础设计了一个折返式的光学成像系统进行红外光高分辨探测。优化并使用柯克式镜组降低了因球面反射镜曲率半径引起的大场曲,从而提高了系统成像质量和分辨率。通过光学设计优化得到了具有高传递函数值(MTF)、低场曲的折反式系统,从而使高分辨率的红外探测系统成为可能。

红外非活性气体对CO超精细红外谱带吸收系数影响的研究

作者在研究了Ｈ２对ＣＯ红外吸收系数影响的基础上。进一步研究了Ｈｅ，Ｎ２，ＣＨ４与ＣＤ４对ＣＯ超精细红外谱带吸收系数的影响．实验结果表明，单原子分子、非极性双原子分子和多原子分子ＣＨ４与ＣＤ４，对红外活性分子ＣＯ谱带吸收系数都会产生影响，吸收系数随气体分压的增大而增大．ＣＯ谱带吸收系数还受气体种类的影响，它随气体分子量的增加而增大，与气体分子量近似呈线形关系．

近红外高光谱分辨率激光雷达光谱滤光器性能分析

近红外高光谱分辨率激光雷达(HSRL)分子散射回波信号具有频谱展宽窄、能量弱等特点,相对于紫外和可见光HSRL研发难度大大增加。光谱滤光器作为HSRL的关键器件之一,与HSRL系统的反演精度密切相关。根据光谱滤光器的信号透射率和光谱分离比与HSRL系统反演精度的关系,通过分析1064 nm HSRL散射回波的特点,对两种具有代表性的干涉光谱滤光器进行了建模和仿真分析。结果表明,在光束发散角较小时,Fabry-Perot干涉滤光器具有较好的滤光性能,但对面形精度要求较高,不易于加工和装调;视场展宽Michelson干涉滤光器(FWMI)对光束的发散角不敏感,集光能力强,且对面形精度的要求相对较低,在实际应用中更适合用于近红外HSRL系统光谱滤光器。

电视天气预报图形图象自动及人机交互处理系统

在ＳＧＩ工作站上开发应用软件建立电视天气预报图形图象自动及人机交互处理系统。运用人机交互技术开发了使用灵活、简便的系列图象检测、处理功能以及人机交互的进程控制方法，运用人机交互技术实现了从天气预报原始产品到视频所需要的图形图象预报产品的全自动方案。

High-resolution Infrared Spectroscopy of ^15N2^16O in 1650-3450 cm-1

High-resolution ro-vibrational spectroscopy of ^15N2^16O in 1650-3450 cm-1 region is studied using highly enriched isotopologue sample. The positions of more than 7300 lines of ^15N2^16O isotopologue were measured with a typical accuracy of 5.0×10-4 cm-1. The transitions were rovibrationally assigned on the basis of the global effective Hamiltonian model. The band by band analysis allowed for the determination of the rovibrational parameters of a total of 73 bands. 29 of them are newly reported and more rotational transitions have been observed for the others. The maximum deviation of the preidictions of the effective Hamiltonian model is up to 0.70 cm-1 for the ^15N2^16O species.

Improving wavelet reconstruction algorithm to achieve comprehensive application of thermal infrared remote sensing data from TM and MODIS

According to the data characteristics of Landsat thematic mapper （TM） and MODIS, a new fu sion algorithm about thermal infrared data has been proposed in the article based on improving wave let reconstruction. Under the domain of neighborhood wavelet reconstruction, data of TM and MO DIS are divided into three layers using wavelet decomposition. The texture information of TM data is retained by fusing highfrequency information. The neighborhood correction coefficient method （NC CM） is set up based on the search neighborhood of a certain size to fuse lowfrequency information. Thermal infrared value of MODIS data is reduced to the space value of TM data by applying NCCM. The data with high spectrum, high spatial and high temporal resolution, are obtained through the al gorithm in the paper. Verification results show that the texture information of TM data and high spec tral information of MODIS data could be preserved well by the fusion algorithm. This article could provide technical support for high precision and fast extraction of the surface environment parame ters.

High-Resolution Infrared-Vacuum Ultraviolet Photoion and Pulsed Field Ionization-Photoelectron Methods for Spectroscopic Studies of Neutrals and Cations

We show that by scanning the frequency of a single mode infrared （IR） optical parametric oscillator （IR- OPO） laser to excite the molecular species of interest and fixing the frequency of a vacuum ultraviolet （VUV） laser to photoionize the IR excited species, high-resolution IR spectra of polyatomic neutrals can be obtained with high sensitivity. The fact that this IR-VUV-photoion （IR-VUV-PI） method is based on VUV photoionization probe, and thus, allows the identification of the neutral IR absorber, makes it applicable for IR spectroscopy measurements of isotopemers, radicals, and clusters, which usually exist as impure samples. The highly resolved IR-VUV-PI measurements achieved using the single mode IR-OPO laser have made possible the selection of single rovibrational states of CH3X （X=Br and I）, C2H4, and C3H4 for VUV-pulsed field ionization-photoelectron （VUV-PFI-PE） measurements, resulting in rovibrationally resolved photoelectron spectra for these polyatomic molecules. These experiments show that the signal- to-noise ratios of the IR-VUV-PI and IR-VUV-PFI-PE spectra obtained by employing the high-resolution IR-OPO laser are significantly higher than those observed in previous IR-VUV-PI and IR-VUV-PFI-PE studies using a low-resolution IR-OPO laser. Further improvement in sensitivity of IR-VUV-PI and IR- VUV-PFI-PE measurements by using the collinear arrangement of IR-VUV lasers and molecular beam is discussed.

Fusion of VNIR and Thermal Infrared Remote Sensing Data Based on GA-SOFM Neural Network

The multi-source data fusion methods are rarely involved in VNIR and thermal infrared remote sensing at present. Therefore, the potential advantages of the two kinds of data have not yet been adequately tapped, which results in low calculation precision of parameters related with land surface temperature. A new fusion method is put forward where the characteristics of the high spatial resolution of VNIR （visible and near infrared） data and the high temporal resolution of thermal infrared data are fully explored in this paper. Non-linear fusion is implemented to obtain the land surface temperature in high spatial resolution and the high temporal resolution between the land surface parameters estimated from VNIR data and the thermal infrared data by means of GA-SOFM （genetic algorithms ＆ self-organizing feature maps）-ANN （artificial neural net-work）. Finally, the method is verified by ASTER satellite data. The result shows that the method is simple and convenient and can rapidly capture land surface temperature distribution of higher resolution with high precision.