The Journal of Supercomputing
Adaptive data parallel methods for ecosystem monitoring
Proceedings of the 1994 ACM/IEEE conference on Supercomputing
Fast Algorithms for Removing Atmospheric Effects from Satellite Images
IEEE Computational Science & Engineering
MMIPPS - A Software Package for Multitemporal and Multispectral Image Processing on Parallel Systems
ParNum '99 Proceedings of the 4th International ACPC Conference Including Special Tracks on Parallel Numerics and Parallel Computing in Image Processing, Video Processing, and Multimedia: Parallel Computation
Parallelisation of a Satellite Signal Processing Code - Strategies and Tools
ParNum '99 Proceedings of the 4th International ACPC Conference Including Special Tracks on Parallel Numerics and Parallel Computing in Image Processing, Video Processing, and Multimedia: Parallel Computation
Cluster Computing Using MPI and Windows NT to Solve the Processing of Remotely Sensed Imagery
Proceedings of the 6th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
FRONTIERS '99 Proceedings of the The 7th Symposium on the Frontiers of Massively Parallel Computation
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The recent advances in remote sensing are contributing to improve emerging applications like geographical information systems. One of the constraint in remotely-sensed images processing is the computational resources required to obtain an efficient and precise service. Parallel processing is applied in remote sensing in order to reduce spatial or temporal cost using the message passing paradigm. In this paper, we present our experiences in the design of a workbench, called DIPORSI, developed to provide a framework to perform the distributed processing of Landsat images using a cluster of workstations. We have focused in describing the results obtained in the implementation of the georeferring function on a biprocessor cluster. In addition, this work offers a set of reflections about the design of complex distributed software systems like the distributed geographic information systems are.