A grid-based programming environment for remotely sensed data processing

  • Authors:

  • Chaolin Wu;Yong Xue;Jianqin Wang;Ying Luo

  • 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 ...;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 ...

  • Venue:
  • APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
  • Year:
  • 2006

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Abstract

Grid computing can provide significant computational power which can be applied to remotely sensed data processing. But not all the users in the field of remote sensing have the required knowledge of the grid computing. In this paper, we introduce a Grid-based programming environment (GPE) for remotely sensed data processing. User who doesn’t have the knowledge of how to deal with transactions of the Grid computing environment can program with it. Although GPE isn’t fit for the algorithms in which there exists strong correlation, it works well with the other algorithms and accelerates the computation evidently.