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REMOTE SENSING FOR LAND & RESOURCES    2016, Vol. 28 Issue (2) : 188-192     DOI: 10.6046/gtzyyg.2016.02.29
GIS |
Data management of multi-temporal images for remote sensing information services in oil and gas application
GUO Hongyan, ZOU Liqun, ZHANG Youyan, LIU Yang, DONG Wentong, ZHOU Hongying
Research Institute of Petroleum Exploration & Development, Beijing 100083, China
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Abstract  

In the application of remote sensing to petroleum exploration, multi-temporal images are very commonly used. How to manage effectively the massive multi-temporal images to satisfy diverse applications is an urgent problem to be solved. The authors firstly employ separate-management mode for two-set data in three-dimensional GIS. Based on the fundamental image data of three-dimensional GIS, the authors present a practical data storage model of multi-temporal images suitable to solving complicated data features, which is characterized by multi-application, multi-district or event, multi-data resource, multi-temporal in providing RS Information service for oil application. This research is verified by developing a multi-temporal images data management system to provide remote sensing multi-temporal images information service.

Keywords glacial lake outburst debris flow      remote sensing image      interpretation key      image feature     
:  TP79  
Issue Date: 14 April 2016
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GUO Zhaocheng
TONG Liqiang
ZHOU Chengcan
ZHAO Zhenyuan
Cite this article:   
GUO Zhaocheng,TONG Liqiang,ZHOU Chengcan, et al. Data management of multi-temporal images for remote sensing information services in oil and gas application[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 188-192.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.02.29     OR     https://www.gtzyyg.com/EN/Y2016/V28/I2/188

[1] 冯德俊,申京诗,李永树,等.土地利用遥感动态监测多时相数据管理[J].武汉大学学报:工学版,2003,36(3):125-128. Feng D J,Shen J S,Li R S,et al.Temporal data management for dynamic monitoring of land use[J].Engineering Journal of Wuhan University,2003,36(3):125-128.

[2] 袁超,张泽烈.服务于城市规划管理的遥感信息平台技术研究[J].测绘科学,2010,35(1):179-181,151. Yuan C,Zhang Z L.Research of remote sensing information platform service to city plan management[J].Science of Surveying and Mapping,2010,35(1):179-181,151.

[3] 詹勤,李德仁,眭海刚,等.一种遥感信息服务分类本体构建方法[J].武汉大学学报:信息科学版,2010,35(3):343-346. Zhan Q,Li D R,Sui H G,Zhang X.A method for building remote sensing information services classification ontology[J].Geomatics and Information Science of Wuhan University,2010,35(3):343-346.

[4] 戴芹,刘建波,刘士彬.海量卫星遥感数据共享的关键技术[J].计算机工程,2008,34(6):283-285. Dai Q,Liu J B,Liu S B.Key techniques of massive remote sensing data sharing[J].Computer Engineering,2008,34(6):283-285.

[5] 黄于鉴.数字地球平台空间数据服务的研究与应用[D].成都:成都理工大学,2008. Huang Y J.Research and Application of Digital Earth Platform Spatial Data Service[D].Chengdu:Chengdu University of Technology,2008.

[6] 梅洋,陆苗.基于遥感影像的变化检测研究动态[J].地理信息世界,2009(2):42-47. Mei Y,Lu M.Review on the change detection technology based on remote sensing imagery[J].Geomatics World,2009(2):42-47.

[7] 王密,潘俊.多时相影像数据管理中的影像块编码技术研究[J].测绘信息与工程,2004,29(3):24-25. Wang M,Pan J.Technique of image block coding for multi-temporal image management[J].Journal of Geomatics,2004,29(3):24-25.

[8] 朱欣焰,陈能成,王密,等.面向网络的海量影像空间数据的在线分发技术[J].武汉大学学报:信息科学版,2003,28(3):288-293. Zhu X Y,Chen N C,Wang M.Online distribution technology of mass image spatial data based on network[J].Geomatics and Information Science of Wuhan University,2003,28(3):288-293.

[9] 杨靖宇,张永生,刘昭华.一种适合多用户并发访问的影像存储模型[J].计算机工程,2010,36(10):14-15,18. Yang J Y,Zhang Y S,Liu Z H.Image store model suitable for multi-user parallel access[J].Computer Engineering,2010,36(10):14-15,18.

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