Abstract
One of the constraints in remotely-sensed images processing is the computational resources required. Distributed processing is applied in remote sensing in order to reduce spatial or temporal cost using the message passing paradigm. In this paper, we present a workbench developed to provide a framework to perform the distributed processing of Landsat images using a cluster of NT workstations. A set of functions and a message structure, called DIPORSI, have been designed to distribute the main algorithms employed in remote sensing. Thus, the large amount of time required by the sequential process drops when the distributed algorithm is used. Our application is based on the NT implementation (WinMPICH) of the MPI standard.
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