Abstract
This paper presents the parallel image processing package MMIPPS (multitemporal and multispectral image processing on parallel systems) developed in a project of the partly EC funded Parallel Computing Initiative II. Image classification and rectification are computational intensive image processing routines, capable to benefit from parallelization. This paper reports the development approach and the performance results achieved on standard networks of PC’s and workstations. It is shown, that the MMIPPS package provides the expected results and speed-ups for the selected image processing tasks, leading to shorter completion times and a more efficient service.
Keywords
- Delaunay Triangulation
- Unsupervised Cluster
- Unsupervised Classification
- Maximum Likelihood Classification
- Image Processing Task
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 1999 Springer-Verlag Berlin Heidelberg
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Janoth, J. et al. (1999). MMIPPS - A Software Package for Multitemporal and Multispectral Image Processing on Parallel Systems. In: Zinterhof, P., Vajteršic, M., Uhl, A. (eds) Parallel Computation. ACPC 1999. Lecture Notes in Computer Science, vol 1557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49164-3_38
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DOI: https://doi.org/10.1007/3-540-49164-3_38
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Online ISBN: 978-3-540-49164-4
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