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991.
CHAMP卫星快速科学轨道数据的使用及精度评定 总被引:6,自引:5,他引:1
指出了德国GFZ数据中心提供的CHAMP卫星快速科学轨道数据存在的两个问题,即:1)轨道数据文件开始、结束段精度较低;2)轨道数据中存在粗差。针对这些问题,给出了CHAMP卫星快速科学轨道数据的拼接及粗差探测方法。利用德国慕尼黑技术大学提供的精密约化动力法轨道对CHAMP卫星快速轨道数据的精度进行了评估。结果表明:CHAMP卫星快速科学轨道的位置精度在10~20cm左右,速度精度为0.3~0.5mm/s。 相似文献
992.
泉州市地下管线探测经验探讨 总被引:1,自引:0,他引:1
陈南阳 《测绘与空间地理信息》2006,29(5):121-122
系统介绍泉州市地下管线探测成功经验,为我国低纬度地区城市地下管线探测提供参考。 相似文献
993.
《Astroparticle Physics》2002,16(4):119-359
The core collapse of a massive star in the Milky Way will produce a neutrino burst, intense enough to be detected by existing underground detectors. The AMANDA neutrino telescope located deep in the South Pole ice can detect MeV neutrinos by a collective rate increase in all photo-multipliers on top of dark noise. The main source of light comes from positrons produced in the CC reaction of anti-electron neutrinos on free protons
. This paper describes the first supernova search performed on the full sets of data taken during 1997 and 1998 (215 days of live time) with 302 of the detector's optical modules. No candidate events resulted from this search. The performance of the detector is calculated, yielding a 70% coverage of the galaxy with one background fake per year with 90% efficiency for the detector configuration under study. An upper limit at the 90% c.l. on the rate of stellar collapses in the Milky Way is derived, yielding 4.3 events per year. A trigger algorithm is presented and its performance estimated. Possible improvements of the detector hardware are reviewed. 相似文献
994.
Oil spill detection with fully polarimetric UAVSAR data 总被引:3,自引:0,他引:3
In this study, two ocean oil spill detection approaches based on four scattering matrices measured by fully polarimetric synthetic aperture radar (SAR) are presented and compared. The first algorithm is based on the co-polar correlation coefficient, ρ, and the scattering matrix decomposition parameters, Cloud entropy (H), mean scattering angle (α) and anisotropy (A). While each of these parameters has oil spill signature in it, we find that combining these parameters into a new parameter, F, is a more effective way for oil slick detection. The second algorithm uses the total power of four polarimetric channels image (SPAN) to find the optimal representation of the oil spill signature. Otsu image segmentation method can then be applied to the F and SPAN images to extract the oil slick features. Using the L-band fully polarimetric Uninhabited Aerial Vehicle – synthetic aperture radar (UAVSAR) data acquired during the 2010 Deepwater Horizon oil spill disaster event in the Gulf of Mexico, we are able to successfully extract the oil slick information in the contaminated ocean area. Our result shows that both algorithms perform well in identifying oil slicks in this case. 相似文献
995.
在无线传感器网络环境中,针对一个具体的模拟任务来探讨传感器节点测量数据(二进制数据)错误出错识别和纠正问题,并给出一种可行性算法(阀值推论)来检测和纠正此类错误.理论分析和仿真显示,在少量传感器节点(<15%)出错情况下,系统能够检测和纠正其中的80%~90%错误. 相似文献
996.
997.
遥感时间序列影像变化检测研究进展 总被引:2,自引:0,他引:2
同一区域、不同时期大量历史数据的积累,以及同一区域能够方便地获取高时间分辨率遥感数据,使遥感时间序列影像变化检测成为近年来遥感技术与应用的研究热点。本文系统总结和评述了当前遥感时间序列影像变化检测的相关研究进展和应用状况,在阐明遥感时间序列分析的意义,以及时间序列影像在变化检测中的优势的基础上,从非遥感领域时间序列变化检测方法出发,针对遥感时间序列影像变化检测的需求,明确和归纳了遥感时间序列变化检测的问题与类型,并对当前最新研究进行了综述,总结了各种方法的优点与不足,重点介绍了基于经验模态分解的遥感时间序列影像异常信息检测方法和基于隐马尔可夫模型的土地利用/覆盖变化检测方法,以期能够为相关研究提供参考。最后总结了该研究领域的发展趋势和存在问题,并对今后的研究工作和未来发展方向进行了展望。 相似文献
998.
Landsat 8 OLI影像已成为重要的数据源,但受云及云影的影响较大,降低了数据的可用性,因此,快速识别云及云影,为后续的数据恢复有着积极的应用价值。通过构建云指数(CI)、归一化暗像元指数(NDPI)和比值阴影指数(RSI),采用阈值法和方位角搜索法,以两景Landsat 8 OLI影像(一景试验影像,另一景验证影像)为例进行云及云影检测。每类随机选取200个样点进行精度分析,结果表明:CI可快速区分OLI影像中的云区与非云区,厚云样本点正确识别率达到99%;NDPI与归一化植被指数(NDVI)构建的比值阴影指数RSI放大了水体、云影与其他阴影间的差异,更便于区分;方位搜索合理设置搜索方位角和搜索距离,简化了云影与云的相对关系模型,可准确区分水体与云影,两者的正确识别率都超过93%,弥补了阈值法的局限性。本方法可行快捷,为OLI影像的后续应用提供了基础,可有效提高其利用精度。 相似文献
999.
1000.
The Alberta Oil Sands (AOS) is a unique area in Canada undergoing significant disturbance and recovery due to a variety of anthropogenic and natural factors. Accurately quantifying these changes in space and time is important for assessing ecosystem status and trends. In this research, we implemented an approach to combine Landsat time series for the period 1984–2012 with ancillary change datasets to derive detailed change attribution in the AOS. Detected changes were attributed to causes including fire, forest harvest, surface mining, insect damage, flooding, regeneration, and several generic change classes (abrupt/gradual, with/without regeneration) with accuracies ranging from 74% to 100% for classes that occurred frequently. Lower accuracies were found for the generic gradual change classes which accounted for less than 3% of the affected area. Timing of abrupt change events were generally well captured to within ±1 year. For gradual changes timing was less accurate and variable by change type. A land-cover time series was also created to provide information on “from-to” change. A basic accuracy assessment of the land cover showed it to be of moderate accuracy, approximately 69%. Results show that fire was the major cause of change in the region. As expected, surface mine development and related activities have increased since 2000. Insect damage has become a more significant agent of change in the region. Further investigation is required to determine if insect damage is greater than past historical events and to determine if industrial development is linked to the increasing trend observed. 相似文献