Study on Remotely Sensed Data Access and Integration Grid-enabled Middleware

摘要：

Every day, Space missions involve the download,from space to ground, of many raw images that are stored in the ground station. These data are stored in geographically distributed and heterogeneous database systems, which make these resources access and share difficult. Data grid technique can hide the difference of storage systems and makes the isolated data resources be shared in the grid environment. This paper describes OGSA-DAI module, which is based on the data grid technique and studies the remotely sensed data access and integration middleware, especially the technology of developing middleware to deal with large binary remotely sensed data.

作者: Jianqin Wang YunLing Liu Li Kang Xinrong Cheng Yong Xue Yi Xie Dingsheng Liu RuiZhi Sun Lu Yang Ying Ding Ya OuYang GuangLi Liu

作者单位: College of Information and Electric Engineering, China Agricultural University, P.O.Box 142,Beijing, State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing The Remote-Sensing Satellite Ground Station, Chinese Academy of Sciences, Beijing, China

会议类型: 国际会议

会议名称: 第五届网格与协同计算国际会议(The Fifth International Conference on Grid and Cooperative Computing GCC 2006)

会议地点: 长沙

会议语种:英文

页码: 477-481

在线出版日期: 2006-10-21（万方平台首次上网日期，不代表论文的发表时间）