Abstract
Grid computing can provide significant computational power which can be applied to remotely sensed data processing. But not all the users in the field of remote sensing have the required knowledge of the grid computing. In this paper, we introduce a Grid-based programming environment (GPE) for remotely sensed data processing. User who doesn't have the knowledge of how to deal with transactions of the Grid computing environment can program with it. Although GPE isn't fit for the algorithms in which there exists strong correlation, it works well with the other algorithms and accelerates the computation evidently. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Wu, C., Xue, Y., Wang, J., & Luo, Y. (2006). A grid-based programming environment for remotely sensed data processing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3842 LNCS, pp. 560–564). Springer Verlag. https://doi.org/10.1007/11610496_73
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