共查询到18条相似文献,搜索用时 140 毫秒
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随着商用高分辨率遥感卫星在各行业应用的不断深入,卫星数据源如何满足日益增长的应用需求已经是一个亟待解决的问题。高分辨率雷达遥感卫星由于具有全天候、全天时对地观测的能力等特点,近2a来备受关注,并相继有高分辨率雷达卫星被发射上空。 相似文献
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《中国测绘》2021,(1)
正此前发射的哥白尼Sentinel-6 Michael Freilich卫星不仅发回了其第一批数据,而且结果表明其功能远好于预期。凭借其先进测高技术,Sentinel-6有望为海平面高度提供非常精确的数据,以监测海平面令人担忧的上升趋势。Sentinel-6 Michael Freilich于当地时间2020年11月21日从加州福尼亚升入轨道。在发出第一个信号表明已经存在太空中并运行良好后,德国欧空局的运营中心负责了卫星前几日的在轨运行,然后移交给Eumetsat (欧洲气象卫星组织)进行调试以及最终的日常运行和数据分发。这颗卫星搭载了欧洲最新的雷达技术,以延长自1990年代初期以来的海平面高度测量的长期观测。 相似文献
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1 前言将于1995年初发射的RADARSAT是加拿大首次发射的遥感卫星,也将是世界上第一颗可操作的雷达卫星。它具有可调节的分辨率和地面覆盖宽度,因此,可根据用户要求选择侧视雷达的天线方式及入射角等参数,以满足不同的应用要求。并且,数据既可以作为独立的信息源,亦可和其它的卫星影像数据联合使用,在世界范围的资源管理和环境监测方面,RADARSAT影像将具有巨大的使 相似文献
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我国测绘卫星的发展思路和应用展望 总被引:3,自引:1,他引:3
国家测绘局经过多年的研究开发,已基本形成了卫星测图的科学生产工艺,对于更大程度上发挥卫星遥感应用潜力起到了积极推动作用。为适应遥感技术的发展,国家测绘局已经于2005年编制了《测绘部门十一五航天规划(草案)》,测绘卫星计划包括研制发射我国自主的测绘系列卫星和建立自主版权的测绘卫星综合应用服务体系。高分辨率测绘系列卫星包括:高分辨率光学立体测图卫星、干涉雷达卫星、激光测高卫星和重力卫星等。随着我国航天事业和卫星制造技术的蓬勃发展,未来的卫星测绘应用能力将得到进一步加强。 相似文献
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《国土资源遥感》2002,(2)
(1)俄拟推出 1m商业遥感卫星系列。俄罗斯赫鲁尼切夫国营研究与生产航天中心计划推出名为“监视者”(Monitor)的 1m分辨率商业遥感卫星系列。这些卫星基于该中心的“快艇”(Yakhta)卫星平台 ,重约 6 75~ 85 5kg ,将用“轰鸣”火箭发射 ,运行在 4 80km高的太阳同步极地轨道上。据称 ,利用仅 6 5cm的小型VSAT(甚小孔径终端 )个人地面接收终端即可直接接收到这些卫星的图像数据。(2 )“雷达卫星 2”平台通过设计评审。 2 0 0 2年 1月 8日 ,主管加拿大“雷达卫星 2”的MDA公司说 ,该卫星平台已通过了严格的设计评… 相似文献
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1975年,我国发射返回式遥感卫星一号以来,已陆续发射了陆地资源、气象、海洋、环境与灾害监测4大系列遥感卫星,初步构建起多分辨率、多谱段、稳定运行的卫星对地观测及应用体系.
2012年1月,资源三号测绘卫星发射升空,该星的全色分辨率2.1m,多光谱分辨率6m,为国家开展基础测绘和地理国情监测提供了稳定可靠的卫星数据源保障.
遥感市场需求旺盛
政策支持技术更新
作为地理信息产业链源头,遥感数据在土地利用、资源环境、石油电力、国防军事、精细农业、森林水产等行业都有广泛的应用前景.遥感数据采集存在着高速发展的自身和外部需求. 相似文献
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天绘二号卫星工程设计与实现 总被引:1,自引:0,他引:1
天绘二号卫星系统是我国首个基于干涉合成孔径雷达技术的微波测绘卫星系统,也是我国第1个近距离编队卫星系统,是国际上继德国TanDEM-X系统后的第2个微波干涉测绘卫星系统,并在国际上首次提出了通过设计双频成像解决干涉相位绝对模糊问题的方法,彻底摆脱了对地面控制数据的依赖。该系统工作于X频段,设计分辨率为3 m,处于500 km的太阳同步轨道,由两颗对等的卫星组成,采用异轨道面卫星编队、一发双收雷达收发模式的技术体制,可以快速测制全球数字表面模型和雷达正射影像。本文通过对干涉基线体制、卫星编队构型及雷达收发模式的选择,提出了天绘二号卫星技术体制;并从系统任务、主要性能及组成3个方面进行了工程设计;从总体论证、关键技术攻关及验证、型号研制3个阶段阐述了工程实现情况;最后介绍了卫星系统在轨测试验证情况。测试结果表明,所有指标达到了工程设计要求,产品精度与TanDEM-X系统相当,满足1:5万比例尺测图精度要求,从而验证了天绘二号卫星工程设计思路正确,工程实现的方法合理可行。 相似文献
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针对目前BDS-2/BDS-3数据质量情况,本文基于IGS连续跟踪站实测数据,从数据完整率、信噪比以及多路径三个方面对比分析了BDS-2/BDS-3的MEO卫星的B3I频率的数据质量。经分析发现,BDS-3新卫星的发射增加了北斗系统的服务范围,BDS-3卫星的数据完整率与信噪比要高于BDS-2,BDS-3卫星的多路径效应小于BDS-2,没有在BDS-3卫星中观测到存在于BDS-2卫星中的系统偏差。 相似文献
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《International Journal of Digital Earth》2013,6(12):1197-1213
ABSTRACTThe new land observation satellite Sentinel-1A was launched on 25 April 2014 with a C-band synthetic aperture radar (SAR) sensor, which has the significant enhancements in terms of revisit period and high resolution. The Mw 6.1 Napa, California earthquake occurring on 24 August 2014, almost 4 months after the launch, is the first moderate earthquake imaged by the Sentinel-1A. This provides an opportunity to map the coseismic deformation of the event and evaluate the potential of Sentinel-1A SAR for earthquake study. Two techniques including the interferometric SAR (InSAR) and pixel offset-tracking (PO) are, respectively, employed to map the surface deformation along the radar line of sight (LOS), azimuth and slant-range directions. The cross comparison between Sentinel-1A InSAR LOS deformation and GPS observations indicates good agreement with an accuracy of ~2.6?mm. We further estimate the earthquake source model with the external COSMO-SkyMed InSAR and GPS data as constraints, and forward calculate the surface deformation as cross validation with the Sentinel-1A observations. The comparison between the observed and modeled deformation shows that the Sentinel-1A measurement accuracy can achieve 1.6?cm for InSAR technique along LOS direction, and 6.3 and 6.7?cm for PO along azimuth and range directions, respectively. 相似文献
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Peter Reinartz Rupert MüllerPeter Schwind Sahil SuriRichard Bamler 《ISPRS Journal of Photogrammetry and Remote Sensing》2011,66(1):124-132
Orthorectification of satellite data is one of the most important pre-processing steps for application oriented evaluations and for image data input into Geographic Information Systems. Although high- and very high-resolution optical data can be rectified without ground control points (GCPs) using an underlying digital elevation model (DEM) to positional root mean square errors (RMSEs) between 3 m and several hundred meters (depending on the satellite), there is still need for ground control with higher precision to reach lower RMSE values for the orthoimages. The very high geometric accuracy of geocoded data of the TerraSAR-X satellite has been shown in several investigations. This is due to the fact that the SAR antenna measures distances which are mainly dependent on the terrain height and the position of the satellite. The latter can be measured with high precision, whereas the satellite attitude need not be known exactly. If the used DEM is of high accuracy, the resulting geocoded SAR data are very precise in their geolocation. This precision can be exploited to improve the orientation knowledge and thereby the geometric accuracy of the rectified optical satellite data. The challenge is to match two kinds of image data, which exhibit very different geometric and radiometric properties. Simple correlation techniques do not work and the goal is to develop a robust method which works even for urban areas, including radar shadows, layover and foreshortening effects. First the optical data have to be rectified with the available interior and exterior orientation data or using rational polynomial coefficients (RPCs). From this approximation, the technique used is the measurement of small identical areas in the optical and radar images by automatic image matching, using a newly developed adapted mutual information procedure followed by an estimation of correction terms for the exterior orientation or the RPC coefficients. The matching areas are selected randomly from a regular grid covering the whole imagery. By adjustment calculations, parameters from falsely matched areas can be eliminated and optimal improvement parameters are found. The original optical data are orthorectified again using the delivered metadata together with these corrections and the available DEM. As proof of method the orthorectified data from IKONOS and ALOS-PRISM sensors are compared with conventional ground control information from high-precision orthoimage maps of the German Cartographic Survey. The results show that this method is robust, even for urban areas. Although the resulting RMSE values are in the order of 2-6 m, the advantage is that this result can be reached even for optical sensors which do not exhibit low RMSE values without using manual GCP measurements. 相似文献
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《Geoscience and Remote Sensing Letters, IEEE》2007,4(4):542-546
This letter uses a large ocean satellite data set to document relationships between Ku-band radar backscatter (sigmao) of the sea surface, near-surface wind speed (U), and ocean wave height (SWH). The observations come from satellite crossovers of the Tropical Rainfall Mapping Mission (TRMM) Precipitation Radar (PR) and two satellite altimeters, namely: 1) Jason-1 and 2) ENVISAT. At these nodes, we obtain TRMM clear-air normalized radar cross-section data along with coincident altimeter-derived significant wave height. Wind speed estimates come from the European Centre for Medium-Range Weather Forecast. TRMM PR is the first satellite to measure low incidence Ku-band ocean backscatter at a continuum of incidence angles from 0deg to 18deg. This letter utilizes these global ocean data to assess hypotheses developed in past theoretical and field studies. 相似文献
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《ISPRS Journal of Photogrammetry and Remote Sensing》2000,55(1):13-33
Relative or absolute elevation extraction from satellite radar data has been an active research topic for more than 20 years. Various investigations have been made on different methods depending on the predominant “fashion” and data availability, leading each time to new developments to improve the capability and the applicability of each method. The paper presents an update of the state-of-the-art of elevation extraction from satellite SAR data. The performance and limitations of four different methods (clinometry, stereoscopy, interferometry and polarimetry) are reviewed, as well as their applicability to different satellite SAR sensors. Their advantages and disadvantages and how they are addressed during the data processing are also analysed. Finally, concluding remarks look at the complementarity aspects of each method to make the best use of the existing and future radar data for elevation extraction. 相似文献