海底地形数据处理与DEM生成

分析了海底DEM生成经常会遇见的问题,介绍了坐标变换、接边处理、插值加密等数据预处理方法,最终生成海底规则格网DEM。     

下一代卫星网络关键技术研究进展

探讨了下一代卫星网络中关键技术的研究进展,主要包括路由策略、传输协议、移动性管理与QoS模型等几个方面,并对下一代卫星网络的研究热点和前景进行了总结和展望。     

From data to decision-making – experiences in Integrated Earth Observation (IEO)

Within the confines of Earth Observation Scientific Knowledge and Technology Transfer in Hungary (EKAT) titled ESA PECS project we gained forum for utilization of our earth observation (EO) knowledge and possibility for further development of experiences. The project aims the horizontal preparation of Hungary for ESA membership – for a dynamically developing sphere in the common part of science, technology and business. For the efficient transfer and dissemination, we preconceived target groups and principles to reach main take-up points and to open new forums of information exchange. Nowadays, user-friendly service, complex supply and real-validation process all have great importance. Joining units of suitable data choice, entire ingestion–processing chains and ergonomic interfaces can only offer a timely and professional solution for the challenges of industry and business sectors. It has to be clearly seen, that information and communication technologies (ICT) and information control becomes a more and more significant part of EO services.     

地图符号的认知语义分析与动态生成

面向位置服务背景下地图符号按需和动态表达的需求,提出了一种基于认知语义分析的地图符号结构化描述模型,以及建立在此基础上的地图符号动态生成方法。结构化描述模型立足"现实—认知—符号"的认知语义原理,以地图符号语素为基本单元、以语义结构为描述框架,侧重描写符号图形和语义之间的关联映射机制。动态生成方法的核心是一种规则控制语素组合构造符号的上下文无关文法模型,通过对图形语素、形态结构语素以及符号生成规则系统进行建模,重构了地图符号动态生成的文法编译器。以个性化导航路径符号为例,通过面向不同情境和语义结构的符号动态生成试验,验证了本文方法的可行性。本文研究将有助于进一步理解地图符号的认知和结构原理,并促进相关行业和应用领域地图符号化的按需和动态表达的水平。     

北斗新一代试验星观测数据质量分析

5颗北斗新一代试验星搭载了包括B1C、B2a和B2b的诸多新体制民用信号,并且为了与北斗区域系统平稳过渡而搭载了B1I和B3I两个旧体制信号。采集了来自国内的6个监测站7 d的试验星观测数据,针对信号载噪比和码伪距多路径偏差分析了新一代试验星观测数据质量。结果表明,新一代试验星信号的各项指标整体较北斗区域系统卫星更好。前者载噪比较高,虽然仍发现了部分测站数据微小的多路径波动,但通过实时相位平滑伪距的方法可以很好地消除之;新一代试验星上B3I与B1I频点的载噪比最大,B2a和B2b次之,B1C的载噪比最小,且不同测站的观测结果存在明显差异;新一代试验星各频点的MP基本相同,但B2a、B2b和B3I频点MP的RMS明显小于B1I和B1C频点的结果。     

关于地理空间元数据技术发展趋势的理论探讨

随着“数字地球”、“数字中国”等的实施,地理空间元数据作为促进海量空间信息管理和共享的有力工具,其应用有了较快的发展。本文在分析我国地理空间元数据应用现状的基础上,结合地理空间元数据的应用特点,分析了地理空间元数据的标准化、互操作、自动生成等趋势是地理空间元数据发展的必然,并论述了与这些发展趋势相关的实施方法和技术,以及这些趋势之间的辩证关系。     

Lidar遥感基本原理及其发展

介绍了航空激光扫描(Airborne laser scanning)或者Lidar遥感信息获取系统的基本原理、系统的组成、数据获取的方法及其步骤;对近数十年来应用激光扫描遥感信息获取地形表面模型方面取得的主要成果、应用现状做了简要回顾和评述;结合GIS和影像融合方法对Lidar遥感技术未来发展趋势进行了展望。     

遥感影像并行处理的数据划分及其路径优化算法

研究了一种基于数据划分的遥感影像并行处理的路径优化算法,用于解决将并行技术应用于海量遥感影像分布式存储和处理领域时其处理模型所具有的多路可达性所引起的路径动态、最优选择问题。在栅格数据可分解性分析及并行模型数据态、元素、相对信息量和映射等8个基本定义和6个性质的基础上,给出并行处理一般数学模型。以该模型为基础获得在一般并行处理情况下,以平均计算代价变量的比值作为控制横向并行与纵向并行选择方式的标志,并进一步给出四叉树索引并行生成、基于四叉树的目标检测并行处理等具体示例。最后,通过试验验证了算法的有效性,分析了算法的特点及影响因素。     

海洋涡旋遥感：进展与挑战

海洋涡旋数量大、分布广、含能高、裹挟强,是研究物质循环、能量级联和圈层耦合的理想载体。对涡旋的全生命周期追踪观测成为21世纪以来海洋遥感领域最重要的进展之一,并引发了新一轮涡旋研究的热潮。本文从涡旋的温度异常、物质示踪、旋转流场和闭合拓扑等特征出发,简述了红外辐射计、可见光扫描仪、微波高度计、合成孔径雷达等遥感技术在涡旋观测中的机理和方法,重点阐述了卫星高度计涡旋识别与追踪算法及其在涡旋形态学、运动学和动力学中的应用。基于虚拟星座下的多参数遥感,介绍了涡旋在海洋、大气、生态等交叉学科领域的前沿应用和最新进展。指出当前涡旋遥感发展面临的亚中尺度、垂直结构、跨学科研究等3大挑战,展望了新一代遥感技术在未来海洋科学特别是涡旋海洋学研究中的应用前景。     

Evaluation of effectiveness of three fuzzy systems and three texture extraction methods for building damage detection from post-event LiDAR data

Building damage maps after disasters can help us to better manage the rescue operations. Researchers have used Light Detection and Ranging (LiDAR) data for extracting the building damage maps. For producing building damage maps from LiDAR data in a rapid manner, it is necessary to understand the effectiveness of features and classifiers. However, there is no comprehensive study on the performance of features and classifiers in identifying damaged areas. In this study, the effectiveness of three texture extraction methods and three fuzzy systems for producing the building damage maps was investigated. In the proposed method, at first, a pre-processing stage was utilized to apply essential processes on post-event LiDAR data. Second, textural features were extracted from the pre-processed LiDAR data. Third, fuzzy inference systems were generated to make a relation between the extracted textural features of buildings and their damage extents. The proposed method was tested across three areas over the 2010 Haiti earthquake. Three building damage maps with overall accuracies of 75.0%, 78.1% and 61.4% were achieved. Based on outcomes, the fuzzy inference systems were stronger than random forest, bagging, boosting and support vector machine classifiers for detecting damaged buildings.