
doi: 10.1007/bfb0095333
Remotely-sensed images processing requires a lot of computational resources. Distributed processing is applied in remote sensing in order to reduce spatial or temporal cost by means of using the message passing interface (MPI). In this paper we have implemented a parallel approach to the rectification and restoration process of Landsat images on a cluster of NT workstations. We have defined a strategy to distribute and collect the Landsat multispectral image.
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