Remote sensing image data storage and search method based on pyramid model in cloud

  • Authors:

  • Ying Xia;Xuanlun Yang

  • Affiliations:

  • School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China;School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

  • Venue:
  • RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
  • Year:
  • 2012

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Abstract

With the development of satellite remote sensing technology, the volume of remote sensing image data grows exponentially, while the processing capability of common computer system is hard to satisfy the requirements of remote sensing image data accessing. In this paper, we propose a storage and search method Based on MapReduce mechanism in cloud computing environment, called BMR. It is a distributed and parallel storage method which combined with Pyramid Model and MapReduce Thinking. It recodes the tiles of each remote sensing image and defines the storage rule to ensure the tiles can be stored and searched in parallel. Experiments show that BMR method achieves good I/O performance.