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Proceedings Paper

Remote sensing data parallel processing base on cloud platform
Author(s): Haitao Wei; Yunyan Du; Chunjin Zhang; Wang Xin
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Paper Abstract

Through the analysis of the cloud storage, cloud computing technology and characteristics of the remote sensing data, a method of mass remote sensing data stored in the cloud is put forward in this paper. Combined with the characteristics of remote sensing data and its processing algorithm, three program designing ideas, namely making data parallel, algorithm parallel and data algorithm nested parallel are proposed. By comparing the experimental results, realization of remote sensing data parallel processing based on cloud platform shows the superiority of the technical solution.

Paper Details

Date Published: 28 October 2011
PDF: 6 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82050B (28 October 2011); doi: 10.1117/12.907562
Show Author Affiliations
Haitao Wei, Institute of Geographic Sciences and Natural Resources Research (China)
Shandong Univ. of Science and Technology (China)
Yunyan Du, Institute of Geographic Sciences and Natural Resources Research (China)
Chunjin Zhang, Shandong Univ. of Science and Technology (China)
Wang Xin, Institute of Geographic Sciences and Natural Resources Research (China)
Shandong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization
Egui Zhu, Editor(s)

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