多特征融合的高分辨率遥感影像飞机目标变化检测

为利用高分辨率遥感影像实现高精度的飞机目标变化检测,提出了一种自适应的多特征融合变化检测与深度学习相结合的方法。首先,通过加权迭代的多元变化检测法获取变化强度图,并结合自适应的直方图统计法自动获取显著的变化与不变化样本;然后,提取多时相影像的光谱、边缘和纹理特征,完成多特征融合的变化检测,并通过形态学处理得到变化图斑;最后,利用训练的NIN(Network in Network)结构的卷积神经网络飞机识别模型,完成变化图斑的类型判别,实现变化飞机的检测。实验结果表明,本文方法在两组数据的正确率分别达到100%和91.89%,均优于对比方法,能实现准确可靠的飞机目标变化检测。     

支持传统方法的矿产资源储量估算软件研究进展

矿产储量估算的全程计算机辅助化、自动化是矿产储量估算的发展趋势,也是推动地矿工作信息化和"数字矿山"建设的一个重要环节。在我国,传统的矿产储量估算方法应用广泛、方法简便、适合我国实际勘探情况,开发适合我国自身特点的的矿产储量估算软件具有重要意义。本文在对传统矿产储量估算方法进行简要介绍的基础上,对支持我国传统方法的矿产储量估算软件研究进展及发展趋势进行了探讨。     

现代地图学的前沿问题

在以信息和通讯为主导的高新技术日新月异发展的今天 ,地图学面临着前所未有的压力和挑战 ,地图学需要重新定位。放眼全球 ,国际地图学界在观念争鸣、理论研究、技术探索、地图应用等方面均出现令人振奋的发展和热点问题。这对我们发展中国的地图学有十分重要的借鉴作用。     

黄土粒度组成的古环境意义研究进展

中国黄土高原的黄土与古土壤序列完好地记录了250万年以来的全球气候变化情况,被认为是反映第四纪古气候和古环境的重要载体.阐述了黄土粒度研究现状与进展,黄土的粒度组成、磁化率、粒度分形等及其所反映的古环境意义.     

烟草香味物质及其形成的前体物质研究进展

烟草香味是评价烟叶及卷烟感官质量的重要指标。介绍了烟草及烟气中香味物质的分离、分析、鉴定的基本方法和技术以及研究成果,并对形成烟草香味的前体物质进行了探讨。     

国外氢氧化镁阻燃剂的研究现状

综述了美国、日本和欧洲共同体在氢氧化镁阻燃剂方面的发展概况、研究现状以及发展趋势,介绍了近20年来国外学者在氢氧化镁阻燃剂研发方面取得的成果及发展方向。提出了应用研究过程中应重点解决阻燃剂粒度超细化、表面改性处理和协同复合技术的问题,并对其发展前景进行了展望。     

美国长期生态学研究网络的战略规划——走向综合科学的未来

从2004年11月起至今,美国长期生态学研究网络在美国国家科学基金会的资助下,为未来(几)十年的综合和网络层面研究进行了战略规划.规划的最终目标是形成一个新的长期生态学研究(LTER)网络层面科学计划,并通过1个科学课题组、7个网络科学工作组和一系列研讨会来进行.在制定和完善科学计划的过程中,规划行动获得了LTER网络层面科学的跨学科问题、概念框架、基本科学问题、社会与环境综合科学动议、网络计算机基础设施的战略规划、教育与宣传战略规划等重大科学产出.规划的意义在于它告诉了怎样走向LTER的未来--网络层面综合科学,因而有利于LTER及长期生态研究的发展,并可为CERN等其他长期生态学研究网络的规划与发展提供启示.     

The GPSTk: an open source GPS toolkit

Applied Research Laboratories, The University of Texas at Austin (ARL:UT) has established a cross platform open source software project called the GPSTk or the GPS Toolkit. The GPSTk consists of a library and collection of applications that support GPS research, analysis, and development. The code is released under the terms of the Lesser GNU Public License. The GPSTk supports a broad range of functionality. This includes reading and writing observations in standard formats, such as RINEX, BINEX, and SP3, ephemeris evaluation, position determination, receiver autonomous integrity monitoring (RAIM), atmospheric delay modeling, cycle slip detection and correction, and P-code generation. The GPSTk provides the core set of functionality that is used for GPS research and development at ARL:UT. ARL:UT has been involved with satellite navigation since Transit (the precursor to GPS) in the 1960s and is currently conducting research in a wide variety of GPS-related fields, including precise surveys, monitor station networks, and ionospheric studies. The GPSTk is a community-wide resource for all users of GPS and GNSS technology. Participation is welcomed in all areas including: bug reports, new algorithms, suggestions for improvement, and contributions of additional functionality or applications. ARL:UT continually improves the library, shepherds community participation, and is committed to the project’s development and maintenance. The GPS Toolbox is a column dedicated to highlighting algorithms and source code utilized by GPS Engineers and scientists. If you have an interesting program or software package you would like to share with our readers, please pass it along; e-mail it to us at gps-toolbox@ngs.noaa.gov. To comment on any of the source code discussed here, or to download source code, visit our website at . This column is edited by Stephen Hilla, National Geodetic Survey, NOAA, Silver Spring, Maryland, and Mike Craymer, Geodetic Survey Division, Natural Resources Canada, Ottawa, Ontario, Canada.     

A Modelling Approach For Optimizing Flight Patterns In Airborne Meteorological Measurements

A method is presented for selecting the optimal flight patterns for airbornemeteorological measurements in various flow situations. The method is basedon systematic utilisation of mesoscale model fields. Flow overan Arctic sea-ice boundary zone is modelled, and it is assumed that the mesoscale model fields represent the true state of the atmosphere, and that each possible flight pattern yields a different sample of the true fields. A plan for the basic structure of the flight pattern is assumed, and then the unexplained variance, i.e., the difference between the true variance and the sample variance, of a quantity of interest is calculated for a variety of possible flight patterns. Different target quantities are considered, such as wind speed, air temperature, and the turbulent fluxesof momentum and sensible heat. The optimal flight pattern is defined byminimisation of the unexplained variance, and often depends on the quantitywe are interested in. For sawtooth patterns, the optimal flight pattern was sensitive to the maximum ascent angle of the aircraft. In flight patterns designed for turbulence measurements, the optimal pattern was different for the unexplained variance of the turbulent fluxes and for the unexplained total heat content of the convective layer.     

一种新的实用型城市基础信息采集系统--轻型飞机成像光谱集成技术系统

1∶5 0 0 0比例尺城市用地和建筑物分类制图是目前城市规划和管理领域迫切需要的基本图件之一。本文从该图件对机载成像光谱图像数据的客观要求出发 ,介绍了一种新的城市基础信息采集系统的组成、应解决的关键技术问题、所采集的成像光谱数据的几何和分类精度及实际生产作业效果