多源地理空间数据同化的主动更新与应用分析
Actively Updating and Application Analysis of Multi-Geospatial Data Assimilation
查看参考文献15篇
|
文摘
|
为提高数据更新过程中多源数据整合利用的效率和更新的自动化程度,将"数据同化"和主动数据库的思想与方法引入空间数据的更新. 论述了"多源地理空间数据同化"和"主动更新"的概念、内涵和关键技术,提出了"地理事件-条件-动作"规则驱动下数据同化的地理空间数据主动更新机制. 最后,将数据同化中常用的最优插值方法,应用于多源地理空间数据的合并,该方法与其他合并方法相比,能提高数据的精度;将主动更新机制应用于数据更新实践,结果表明,该机制可以提高更新的自动化程度 |
|
其他语种文摘
|
Establishing and updating of geospatial database is an important part of National Spatial Data Infrastructure (NSDI), also an important foundation of Digital Earth building. However, there still exist many problems in integrating and efficiently updating geospatial data at the present time, especially, low efficiency in using multisource geospatial data, low level in automatization and intelligentization, and lack of practical application with the guidance to complete theoretical system and technical framework. In accordance with this, the paper introduces concepts and methods of data assimilation and actively updating of geospatial database. The purpose is to improve the efficiency of multi-source data utilization and the level of automatization. The character of geospatial data assimilation is to combine a variety of mathematical models and data sources effectively, which eventually makes the new data express the objective entity more accurately. Geospatial data actively updating means the computer can respond to the corresponding geographic events actively and implement the predefined updating operations. The actively updating process is triggered by geographic events under control of the geography event-condition-action rules. This paper discusses the concepts, connotation and key techniques of multi-source geospatial data assimilation and actively updating. Key techniques includes: the acquisition, expression and management of updating rules, the discovery, description and expression of geographic component variation information, the updating of geometrical information and attribute information based on the data assimilation, and the actively updating mechanism driven by GECA rules. This paper also presents the mechanism for geospatial data actively updating which is based on data assimilation and driven by GECA (Geographic event-Condition-Action) rules. Finally, the paper applies the optimum interpolation method which is often used in data assimilation for the conflation of multi-source geography spatial data. Compared with other methods, this method can improve data precision. The actively updating mechanism is used in updating fundamental geo-information data of scale 1:500 000. Practice has proved that the updating mechanism can improve the automating and intelligent level of data updating |
|
来源
|
地球信息科学学报
,2010,12(4):541-548 【扩展库】
|
|
关键词
|
地理空间数据
;
空间数据主动更新
;
数据同化
;
GECA规则
|
|
地址
|
1.
信息工程大学测绘学院, 郑州, 450052
2.
中国人民解放军61081部队, 北京, 100091
3.
中国人民解放军68011部队, 兰州, 730020
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
1560-8999 |
|
学科
|
自然地理学 |
|
基金
|
国家863计划
|
|
文献收藏号
|
CSCD:3980540
|
参考文献 共
15
共1页
|
|
1.
陈军. 基础地理数据库的持续更新问题.
地理信息世界,2004,2(5):1-5
|
被引
65
次
|
|
|
|
|
2.
陈军. 国家1:50000数据库更新工程总体设计研究与技术创新.
测绘学报,2010,39(1):7-10
|
被引
43
次
|
|
|
|
|
3.
童小华. 数字地图合并的平差原理与方法.
武汉大学学报(信息科学版),2007,32(7):621-625
|
被引
13
次
|
|
|
|
|
4.
臧德彦. 地图合并中基于叠置方法的特征点匹配可靠性检验.
地理与地理信息科学,2007,23(5):15-18
|
被引
1
次
|
|
|
|
|
5.
李新. 数据同化------一种集成多源地理空间数据的新思路.
科技导报,2004(12):13-16
|
被引
21
次
|
|
|
|
|
6.
陈荣元. 基于数据同化的全色和多光谱遥感影像融合.
武汉大学学报(信息科学版),2009,34(8):919-922
|
被引
4
次
|
|
|
|
|
7.
王跃山. 数据同化------它的缘起、含义和主要方法.
海洋预报,1999,16(1):11-20
|
被引
28
次
|
|
|
|
|
8.
Paton N W. Active Database Systems.
ACM Computing Surveys,1999,31(1):63-103
|
被引
20
次
|
|
|
|
|
9.
周晓光. 基于事件的时空数据库增量更新.
中国图象图形学报,2006,11(10):1431-1438
|
被引
25
次
|
|
|
|
|
10.
陈军. GIS数据库更新模型与方法研究进展.
地理信息世界,2008(3):1-6
|
被引
3
次
|
|
|
|
|
11.
Li X. A Very Fast Simulated Re-annealing (VFSA) Approach for Land Data Assimilation.
Computers & Geosciences,2004,30(3):239-248
|
被引
32
次
|
|
|
|
|
12.
刘万增. 数据库更新中河流与山谷线一致性检测.
中国图象图形学报,2008,13(5):1003-1008
|
被引
12
次
|
|
|
|
|
13.
姜跃平. ECA规则的模型和行为特定理论.
软件学报,1997,8(3):190-196
|
被引
9
次
|
|
|
|
|
14.
黎涛. 基于事件驱动的空间过程模拟机制研究及实践.
地球信息科学学报,2009,11(4):461-467
|
被引
1
次
|
|
|
|
|
15.
韩梅. 最优插值法在海温数据同化中的应用.
海洋技术,2008,27(4):90-92
|
被引
4
次
|
|
|
|
|
了解气象卫星更多信息，请访问