Satellite Image Processing on Distributed Computing Environments

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Satellite Image Processing on Distributed
Computing Environments
Shamim Akhter, Yann Chemin, Kento Aida
Department of Information Processing, Tokyo
Institute of Technology, Japan. RS and GIS
FoS, Tokyo Institute of Technology, Thailand.
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Introduction

• GRASS GIS (Geographical Resources Analysis
  Support System) is an open source software/tool,
  has been used for RS and GIS data analysis and
  visualization.
• Currently, GRASS uses databases to handle large
  datasets and the performance and capabilities of
  GRASS for large datasets can be greatly improved
  by integrating GRASS with parallel and
  distributed computing.
• GRASS module r.vi is developed by Kamble and
  Chemin, and is used as a test example for this
  study.
• Developing the methodology, which enables to run
  GRASS GIS environment for satellite images
  processing on distributed computing systems (MPI
  and Ninf-G), is the main concerning issue of this
  paper.