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Massive remote sensing image fast processing is one of the important tasks for remote sensing image applications, it is not only data intensive but also computation intensive, which arises our interest in distributed parallel processing by grid computing. The novel grid computing technology seeks to aggregate computing resources which are geographically distributed or heterogeneous for computational intensive applications. In this paper, a grid-based image processing testbed is established for remote sensing image distributed processing, and middleware is developed, which was applied to remote sensing image distributed deblurring processing. Preliminary experimental results show the processing efficiency is greatly improved, which demonstrate the promising potential of grid computing technology on remote sensing image distributed processing.