Aerosols and clouds in the upper troposphere–lower stratosphere region detected by GOMOS and ACE: Intercomparison and analysis of the years 2004 and 2005

Satellite-based limb occultation measurements are well suited for the detection and mapping of polar stratospheric clouds (PSCs) and cirrus clouds. PSCs are of fundamental importance for the formation of the Antarctic ozone hole that occurs every year since the early 1980s in Southern Hemisphere spring. Despite progress in the observation, modeling and understanding of PSCs in recent years, there are still important questions which remain to be resolved, e.g. PSC microphysics, composition, formation mechanisms and long-term changes in occurrence. In addition, it has recently become clear that cirrus clouds significantly affect the global energy balance and climate, due to their influence on atmospheric thermal structure.     

Lower-mesospheric inversion layers over brazilian equatorial region using TIMED/SABER temperature profiles

Lower-mesospheric inversion layers (MILs) were studied using the temperature profiles observed by TIMED/SABER over Cariri (7.5°S, 36.5°W), Brazil, in 2005. A total 175 MILs were identified with the maximum occurrence in April and October and the minimum in January and July. The lower MIL is located in a height region from 70 to 90 km, with the peak at around 83 ± 4 km with the temperature of 205 ± 5 K, and the thickness of 4–10 km. The results show large amplitudes of MILs during equinoxes and minimum in solstices, with a clear semiannual variation. A general feature of lower MIL in monthly mean profile was observed twice a year, one from February to May, and the other from August to October with a downward shift of the top level. These results suggest that formation and long persistence of MIL is an important factor to investigate propagation of atmospheric gravity waves in the mesosphere-lower thermosphere (MLT) region.     

Advances in the Researches in Middle and Upper Atmosphere in 2006—2008

This paper summarizes the research results obtained by Chinese scientists and/or through international collaborations in 2006—2008.Specifically,this paper focus on the research fields in the middle and upper atmosphere,including developments in facilities and instruments,and the advancements in scientific issues.     

超谱遥感图像降维方法研究现状与分析

随着成像光谱仪的发展 ,超谱遥感图像的研究已进入到一个新的阶段———对获取的超谱数据进行有效处理和利用的阶段。目前的处理方法主要集中在对超谱图像的数值分析处理上 ,比如大气校正、降低数据维数、信息提取、分类与压缩等方面。而超谱图像降维方法的研究是做好后继处理的一个关键步骤 ,降维方式的正确选取与使用 ,对于发展和完善那些针对超谱海量数据和丰富信息特点的算法和软件有极大的好处。文章从波段选择、划分数据源、特征提取和融合等 4个角度对目前超谱图像的各种降维方法进行了综合归纳和分析。力图为超谱图像处理寻找突破点 ,加强此领域的研究力度     

基于嵌入式FPGA加速ORB算法的遥感影像配准方法

卫星上计算资源有限,星载嵌入式处理器处理遥感影像的配准时通常需要很长的时间.可编程逻辑门阵列(FPGA)利用其内部可编程器件可用于加速图像处理.提出了一种基于Xilinx公司的ZYNQ芯片加速ORB算法的遥感影像配准方法,可用于3000×3000像素尺寸的卫星图像配准,缩短了计算耗时,提升了ORB算法的计算能效比.利用...     

基于在轨组装维护的多载荷协同观测卫星平台构型设计

针对高轨遥感卫星多载荷协同观测和一致测量应用需求,在前期总体技术方案研究的基础上,通过开展现有在轨组装航天器和高轨卫星公用平台的构型调研,提出了一种适用于多载荷协同观测需求的平台构型设计方案。平台利用CZ-5运载火箭发射并在轨展开,采用“网格式中心承力筒+板+桁架”式的总体构型,开展了主传力路径、贮箱承载结构、网格式中心承力筒等的细化设计工作,并进行了结构产品的初步设计,建立了平台结构整星的有限元模型。仿真分析表明:平台结构整星的各向一阶频率均能满足运载火箭的频率要求。基于标准化、通用化的平台接口设计,使其具备可扩展及可维修的能力,大大提升了平台鲁棒性。基于全网格筒的主承力设计,增强平台结构承载能力,并改善平台内部热环境。该设计方案可为基于在轨组装维护的高轨遥感大平台结构的设计提供有价值的参考。     

面向月球科研站任务的地月准实时遥操作模拟验证系统设计与关键技术研究

针对月球科研站任务地月遥操作需求和特点,设计地月准实时遥操作模拟验证系统,对其中的关键技术海量多尺度遥感数据环境感知、空地协同高精度定位、基于混合现实的预测仿真等进行了研究。提出了基于海量多尺度遥感数据的联合处理方法,环境感知数据融合可处理米级至厘米级环境感知结果;设计基于空地多运动平台协同定位的原型软件,空地协同地标约束下,定位精度不低于轨道器影像1个像素;开发了带有力觉反馈的预测仿真验证平台,在2~3 s变时延约束下可在仿真环境下协同演示遥操作过程,真实还原从端的遥操作作业场景,提高遥操作的执行效率和安全性。为地面人员的方案设计、操作手训练、故障处置等提供实时支持,为我国未来实施月球科研站任务筑牢基础。     

卫星遥感农业监测系统中实例检索算法研究

针对智慧农业中需求获取手段、表达方法等导致智能设计算法复杂度高、可用性低等问题，将卫星遥感技术和网络技术结合实现农作物及其生长环境参数的实时监测，以优化播种机设计的需求特征，并以此为基础，提出基于混合相似度的实例检索模型。在该模型中，设计了多级实例库结构，并以特征间距离相似度、特征间可拓关联度、特征间可拓距测度为组成要素，构造多级混合相似度的层次结构与计算方法，进行多级实例检索。将其应用到铲式播种机的数字化设计系统中，可获得与目标实例最相似的实例。实验结果表明，在实例的特征值数据类型多样化的情况下，此算法能够有效地检索出合适的历史实例，提高检索结果的可用性。     

Object-based rice mapping using time-series and phenological data

Remote sensing techniques are often used in mapping rice, but high quality time-series remote sensing data are difficult to obtain due to the cloudy weather of rice growing areas and long satellite revisit interval. As such, rice mapping is usually based on mono-temporal Landsat TM/ETM+ data, which have large uncertainties due to the spectral similarity of different vegetation types. Moreover, conventional pixel-based classification method is unable to meet the required accuracy for rice mapping. Therefore, this study proposes a new strategy for mapping rice in cloud-prone areas using fused data of Landsat-8 OLI time-series and phenological parameters, based on the object-based method. We determine the critical growth stages of paddy rice from observed phenological data and MODIS-NDVI time-series data. The spatial and temporal adaptive reflectance fusion model (STARFM) is used to blend the MODIS and Landsat data to obtain a multi-temporal Landsat-like dataset for classification. Finally, an object-oriented algorithm is used to extract rice paddies from the Landsat-like, time-series dataset. The validation experiments show that the proposed method can provide high accuracy rice mapping, with an overall accuracy of 92.38% and a kappa coefficient of 0.85.     

卫星遥感农业监测系统中权重优化的实例修改算法

针对播种机设计过程需求获取的复杂性和可用性低等问题，采用遥感等技术动态监测土壤、农作物生长过程中的一些参数，以优化设计需求特征，并以此为基础，提出改进的混合权重实例修改算法。该算法以相似实例检索为前提，以相似实例集中的特征相似度、问题-解特征间的关联度、问题特征间的自相关度为因子，通过矩阵乘法来构造解特征混合权重矩阵，进行实例修改。将其应用到铲式播种机的数字化设计系统中，以实现智能设计。研究结果表明新算法能有效提高机械设计结果的可用性和准确度。