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Distributed georeferring of remotely sensed Landsat-TM imagery using MPI

Authors: Jesús D. García-Consuegra; José A. Gallud; Gabriel Sebastián;

Distributed georeferring of remotely sensed Landsat-TM imagery using MPI

Abstract

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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