Information registry of remotely sensed meta-module in grid environment

  • Authors:
  • Yong Xue;Jianqin Wang;Chaolin Wu;Yincui Hu;Jianping Guo;Lei Zheng;Wei Wan;Guoyin Cai;Ying Luo;Shaobo Zhong

  • Affiliations:
  • State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;College of Information and Electrical Engineering, China Agricultural University, Beijing, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Institute of Remote ...

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
  • Year:
  • 2006

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Abstract

The term "the Grid" was coined in the mid 1990s to denote a proposed distributed computing infrastructure for advanced science and engineering. Grid computing technology is a new way for remotely sensed data processing. Special remotely sensed data processing Grid node provides convenient, consistent spatial information processing service for user. In this paper we mainly discusses information registry mechanism and method for remotely sensed data processing module and algorithm in Grid environment and gives the remotely sensed meta-module conception. Then based on the characteristic of remotely sensed data processing module and Grid technology, we describe remotely sensed data processing meta-module information registry method and give a concrete example.