YODA++: A proposal for a semi-automatic space mission control

YODA++ is a proposal for a semi-automated data handling and analysis system for the PAMELA space experiment. The core of the routines have been developed to process a stream of raw data downlinked from the Resurs DK1 satellite (housing PAMELA) to the ground station in Moscow. Raw data consist of scientific data and are complemented by housekeeping information. Housekeeping information will be analyzed within a short time from download (1 h) in order to monitor the status of the experiment and to foreseen the mission acquisition planning. A prototype for the data visualization will run on an APACHE TOMCAT web application server, providing an off-line analysis tool using a browser and part of code for the system maintenance. Data retrieving development is in production phase, while a GUI interface for human friendly monitoring is on preliminary phase as well as a JavaServerPages/JavaServerFaces (JSP/JSF) web application facility. On a longer timescale (1–3 h from download) scientific data are analyzed. The data storage core will be a mix of CERNs ROOT files structure and MySQL as a relational database. YODA++ is currently being used in the integration and testing on ground of PAMELA data.     

三维真实地形环境下无人机救援航路规划方法

利用无人机(UAV)的三维飞行能力,采用优化方法规划路径,能够使其在救援任务中比地面车辆以更短的时间到达救援区域,提高救援效率.针对真实的地理环境,根据无人机约束采用均匀化网格方法进行地形建模,之后根据地形数据的特点设计适合数学计算与求解的数据结构.最后设计了包含偏离代价、高度代价、地形跟随/回避代价、威胁代价和安全距离代价的综合性能指标函数,并采用航路点交叉和网格搜索代替航路点搜索的方法,对蚁群算法进行改进完成航路规划.仿真结果表明:本文方法能够直接处理三维地形数据,在保持地貌的前提下,完成了无人机的三维航路规划任务,得到满足无人机约束的三维最优航路,提高了航路规划方法的实用价值.      

地震电磁卫星任务规划系统研究

地震电磁卫星任务规划是支持卫星在轨业务运控的核心环节. 通过对地震电磁卫星任务规划系统的研究, 提出了地震电磁探测卫星任务规划的基本原则, 设计了地震电磁探测卫星任务规划系统架构, 分析了系统功能需求和规划处理流程, 在此基础上对地震电磁卫星进行了原型实现.      

高中低轨导航星座混合体制星间链路规划

针对北斗系统加入低轨增强星座后的高中低混合星座特点,为了满足下一代导航星座主要的星间链路业务需求,提出了一种分级规划的混合星座星间链路规划方案。优先为激光星间链路的MEO、LEO、MEO-LEO建立拓扑,基于此拓扑提出了时分体制的分组拓扑规划算法。针对导航星座高中低速混合星间网络不同体制的路由提出了2种不同的改进路由算法,并对混合体制星间链路进行了仿真和规划。对规划结果进行了统计分析,验证了混合网络规划方法的正确性和混合网络在低轨监测数据回传、层间数据传输、导航信息上注3个典型导航业务场景的数据传输效能。低轨监测数据回传和连续体制节点导航信息上注时延均在1s之内,在94%的时间里有5~8条层间星间链路,时分体制节点在92%的时间里可以在12s内完成上行注入,为下一代导航系统规划设计提供参考建议。     

Monitoring the changing aereal extent of irrigated lands of the gefara plain,libya

The inventory of large often non-homogeneous tracts of land by resource agencies has led to the development of estimation methods and sampling strategies that produce estimates of the aereal extent of various features from ‘limited’ observations of the universe of interest. Landsat data has furnished a tool that allows for potential improvement in estimates of resource parameters over extensive areas. This paper examines the methodology and results of a procedure which uses an economical sampling procedure allied with the large area covering qualities of the satellite imaging system to make improved estimates of irrigated land in a more timely, efficient and ‘accurate’ manner.     

Application of China–Brazil Earth resources satellite in China

The launch and successful operation of Chinese–Brazil Earth resources satellite (CBERS-1) in China has accelerated the application of space technology in China. These applications include agriculture, forestry, water conservation, land resources, city planning, environment protection and natural hazards monitoring and so on. The result of these applications provides a scientific basis for government decision making and has created great economic and social benefits in Chinese national economy construction. In this paper we present examples and provide auxiliary documentation of additional applications of the data from Earth resource monitoring.     

遥感卫星原始数据格式分析及规范化研究

遥感卫星原始数据(RAW)格式不仅是遥感卫星地面系统运行和建设过程中的一个焦点问题,也是遥感数据用户十分关心的问题之一.目前,国内外对RAW数据格式的定义比较混乱,没有统一的行业标准,这种局面已严重影响到遥感卫星数据的高效使用及数据的长期存档,也严重制约了地面系统的进一步发展建设.本文通过分析国内外几种主流的遥感卫星RAW数据格式及特点,并结合中国遥感卫星地面站投入运行20年来的实践,提出了一种遥感卫星RAW格式方案,以期RAW数据格式早日规范化.      

Development and testing of a statistical texture model for land cover classification of the Black Sea region with MODIS imagery

A statistical model is proposed for analysis of the texture of land cover types for global and regional land cover classification by using texture features extracted by multiresolution image analysis techniques. It consists of four novel indices representing second-order texture, which are calculated after wavelet decomposition of an image and after texture extraction by a new approach that makes use of a four-pixel texture unit. The model was applied to four satellite images of the Black Sea region, obtained by Terra/MODIS and Aqua/MODIS at different spatial resolution. In single texture classification experiments, we used 15 subimages (50 × 50 pixels) of the selected classes of land covers that are present in the satellite images studied. These subimages were subjected to one-level and two-level decompositions by using orthonormal spline and Gabor-like spline wavelets. The texture indices were calculated and used as feature vectors in the supervised classification system with neural networks. The testing of the model was based on the use of two kinds of widely accepted statistical texture quantities: five texture features determined by the co-occurrence matrix (angular second moment, contrast, correlation, inverse difference moment, entropy), and four statistical texture features determined after the wavelet transformation (mean, standard deviation, energy, entropy). The supervised neural network classification was performed and the discrimination ability of the proposed texture indices was found comparable with that for the sets of five GLCM texture features and four wavelet-based texture features. The results obtained from the neural network classifier showed that the proposed texture model yielded an accuracy of 92.86% on average after orthonormal wavelet decomposition and 100% after Gabor-like wavelet decomposition for texture classification of the examined land cover types on satellite images.     

星载高速串行数据处理系统设计与实现

遥感卫星图像数据量的高速增长,以及遥感卫星搭载的相机不同工作模式下产生的数据差异化处理的需求,为星间数据处理带来了巨大挑战。针对星载Gbit·s^–1级高速数据收发及文件缓存等星间数据处理面临的问题,以百兆每秒级星载高速接收缓存系统为切入点,以遥感卫星数据处理的发展为依据,在分析SerDes传输原理的基础上,采用模型仿真和工程验证的方法,制定了高速串行数据链路层传输协议SSLLP(Satellite Serial Link Layer Protocol)和类文件化高速缓存的策略。在硬件设计和软件开发的基础上,最终完成了具备处理入口速率3.2 Gbit·s^–1并能以类文件化的方式缓存64个数据文件的星载数据处理单元的工程实现。测试结果表明,基于SSLLP的高速串行数据接收正确,缓存策略有效,系统高效可靠。该设计已在某型号任务中取得在轨验证,为星载高速串行数据处理系统提供了参考。     

萤火一号探测器有效载荷数据管理器设计

针对萤火一号探测器各有效载荷的需求设计出安全、可靠的载荷数据管理器(PDHU), 实现对其 进行数据采集、处理、存储以及供配电等; PDHU提供操作系统, 便于应用软件的 开发; 针对火星探测的实际情况, 对地通信采用无交错的RS码加卷积码的级连编码方式进行信道编码.      

Land use systems and their impact on environment. An attempt at a classification

The scope and degree of land transformation depends on the system of land use by man. Therefore research on land use systems is of considerable importance, both for better knowledge of resulting processes as well as for more rational land management. To start such research a classification of land use systems is necessary. The paper presents an attempt at such a classification, preceded by an information on the studies carried on in the past as well as an explanation of reasons why such an attempt has been made, followed by the discussion of possible criteria, methods and techniques of land use systems identification.     

中继卫星单址链路调度模型与算法研究

中继卫星的任务规划与调度是空间资源管理的重要内容之一,目的在于为中继卫星系统的任务计划编制提供科学合理的决策手段与依据。中继卫星单址链路调度问题的重要特点在于,中继卫星与用户航天器之间并非时时可见,因此通信任务存在可见时间窗口约束。只有在可见时间窗口内,通信任务才可能执行并完成。在进行合理假设的基础上,建立中继卫星单址链路调度问题的约束规划模型。对基本遗传算法进行改进,提出了基于有效基因路径表示的改进遗传算法。应用结果表明,基于约束规划理论建立中继卫星单址链路调度模型并采用基于有效基因路径表示的遗传算法求解是合理的。     

Remote sensing for drought impact assessment — A study of land transformation in Kordofan,Sudan

A study of aerial photography from 1962 and satellite data from later periods did not indicate any evidence for a continuous Sahara desert movement southwards, large shifts in land system borders, southward sand and dune complex encroachment or systematic growth of village “desert patches”. A study of the potential of a transformed normalized difference green leaf density vegetation indicator for drought impact and green biomass monitoring is in progress.     

Satellite remotely-sensed land surface parameters and their climatic effects for three metropolitan regions

By using both high-resolution orthoimagery and medium-resolution Landsat satellite imagery with other geospatial information, several land surface parameters including impervious surfaces and land surface temperatures for three geographically distinct urban areas in the United States – Seattle, Washington, Tampa Bay, Florida, and Las Vegas, Nevada, are obtained. Percent impervious surface is used to quantitatively define the spatial extent and development density of urban land use. Land surface temperatures were retrieved by using a single band algorithm that processes both thermal infrared satellite data and total atmospheric water vapor content. Land surface temperatures were analyzed for different land use and land cover categories in the three regions. The heterogeneity of urban land surface and associated spatial extents were shown to influence surface thermal conditions because of the removal of vegetative cover, the introduction of non-transpiring surfaces, and the reduction in evaporation over urban impervious surfaces. Fifty years of in situ climate data were integrated to assess regional climatic conditions. The spatial structure of surface heating influenced by landscape characteristics has a profound influence on regional climate conditions, especially through urban heat island effects.     

基于多种并发机制的卫星电子设备地面测试软件设计方法

在卫星电子设备测试系统中,地面测试软件不仅要访问测试系统硬件,而且需要与用户直接交互,并完成测试数据的存储和管理,并发处理能力是测试系统可靠和正确的关键,传统软件设计采用的串行策略无法适应卫星地面测试软件中的并发处理需求.为解决上述问题,提出多线程、消息机制、共享缓冲区、P-V操作4种并发机制相结合进行程序设计的方法.实际应用表明采用这种基于多种并发机制的程序设计方法能可靠实现卫星地面测试软件,有效解决了软件开发中的并行性问题.     

FocusGEO望远镜观测地球同步轨道目标的光度特性分类

基于FocusGEO望远镜2017年12月至2019年6月的测光观测数据,开展台站上空地球同步轨道(GEO)目标光度曲线的分类研究.通过对GEO卫星光度曲线特征的统计分析,建立了一种全新的GEO卫星分类系统,确定了各类GEO卫星光度曲线的占比,分析了光度特征类别与卫星平台的相关性.本研究将197颗GEO卫星的光度曲线分...     

基于对抗和迁移学习的灾害天气卫星云图分类

针对卫星云图中的灾害天气数据存在严重不平衡问题,提出一个结合生成对抗学习（GAN）和迁移学习（TL）的卷积神经网络（CNN）框架以解决上述问题进而提高基于卫星云图的灾害天气分类精度。该框架主要包含基于GAN的数据均衡化模块和基于迁移学习的CNN分类模块。上述2个模块分别从数据和算法层面解决数据的类间不平衡问题,分别得到一个相对均衡的数据集和一个可在不同类别数据上提取相对均衡特征的分类模型,最终实现对卫星云图的分类,提高其中灾害天气的卫星云图类别分类准确率。与此同时所提方法在自建的大规模卫星云图数据上进行了测试,消融性和综合实验结果证明了所提数据均衡方法和迁移学习方法是有效的,且所提框架模型对各个灾害天气类别的分类精度都有显著提升。      

一种兼顾不同轨道姿态的卫星热控优化设计方法

分析了传统卫星的热控设计方案,提出一种能够同时满足太阳同步轨道和倾斜轨道条件的卫星热设计优化方法.基于该优化方法对某卫星在两种轨道条件下进行了热仿真分析,并对太阳同步轨道条件下的卫星进行热平衡试验和在轨验证.研究结果表明,采用该优化方法可减少倾斜轨道条件下卫星热设计的地面试验验证,缩短卫星研制周期并显著节约成本.研究结果可为卫星热控设计优化提供参考.      

Selection of classification techniques for land use/land cover change investigation

The concerns over land use/land cover (LULC) change have emerged on the global stage due to the realisation that changes occurring on the land surface also influence climate, ecosystem and its services. As a result, the importance of accurate mapping of LULC and its changes over time is on the increase. Landsat satellite is a major data source for regional to global LULC analysis. The main objective of this study focuses on the comparison of three classification tools for Landsat images, which are maximum likelihood classification (MLC), support vector machine and artificial neural network (ANN), in order to select the best method among them. The classifiers algorithms are well optimized for the gamma, penalty, degree of polynomial in case of SVM, while for ANN minimum output activation threshold and RMSE are taken into account. The overall analysis shows that the ANN is superior to the kernel based SVM (linear, radial based, sigmoid and polynomial) and MLC. The best tool (ANN) is then applied on detecting the LULC change over part of Walnut Creek, Iowa. The change analysis of the multi temporal images indicates an increase in urban areas and a major shift in the agricultural practices.     

基于数字地图预处理的低空突防飞行路线规划

地形跟随/地形规避/威胁回避TF/TA²(Terrain Following, Terrain Avoidance, Threat Avoidance)路线规划是低空突防研究的关键技术.地形信息存贮在数字地图中.为保证所设计路线对飞行器来说是可实现的,研究了数字地图的预处理,把地形、威胁及飞行器性能等信息融合构造了虚拟的地形表面.预处理包括数据文件压缩、威胁信息转化为地形信息、数据插值、及地形的平滑处理.通过设计综合TF/TA²的指标函数、根据A^*算法对其转化,并采用优化方法,可实现三维TF/TA²路线规划.仿真结果证明了算法的有效性.