Abstract : —The watershed computation is a prevalent task in the geographical information systems. It is used, among other purposes, to forecast the pollutant concentration and its impact on the water quality. The algorithm to compute the watershed can be hard to parallelize and with the increasingly data growth, the need for parallel computation increases. In this paper we propose a new method to parallelize the watershed computation. Our algorithm is decomposed into two tasks, the parallel watershed segmentation into a hierarchy that allows in a second task to retrieve randomly large watersheds at run-time in interactive time.
Type de document :
Communication dans un congrès
High Performance Computing & Simulation, Jul 2017, Gênes, Italy
https://hal-univ-orleans.archives-ouvertes.fr/hal-01557052
Contributeur : Kevin Bourgeois
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Soumis le : mercredi 5 juillet 2017 - 17:32:38
Dernière modification le : mercredi 16 mai 2018 - 12:14:01
Document(s) archivé(s) le : mardi 23 janvier 2018 - 21:39:25
Kevin Bourgeois, Sébastien Limet, Sophie Robert, Victor Essayan. An Hierarchical Labeling Technique for Interactive Computation of Watersheds. High Performance Computing & Simulation, Jul 2017, Gênes, Italy. 〈hal-01557052〉
