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Proceedings Paper

Design and implementation of a decentralized self-coordinating distributed remote sensing image processing system
Author(s): Rui Wang; Zeyang Liu; Bin Chen
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Paper Abstract

With the development of remote sensing technological, the data of remote sensing has become even huger, and the process is more complex and time-consuming. This paper presents a decentralized self-coordinating distributed method, designs and implements a decentralized self-coordinating distributed remote sensing image processing prototype system. The principle of this system is to assign remote sensing image processing to other node according to global directory, so as to accelerate the speed of the process. The global directory records all nodes' information including the load balance factor which records the nodes' capability of processing remote sensing image. It provides a new distributed computing model for the remote sensing image processing and gives the remote sensing image processing system flexibility, scalability, higher performance and reliability scale.

Paper Details

Date Published: 11 November 2008
PDF: 9 pages
Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71462E (11 November 2008); doi: 10.1117/12.813180
Show Author Affiliations
Rui Wang, Peking Univ. (China)
Zeyang Liu, Peking Univ. (China)
Bin Chen, Peking Univ. (China)


Published in SPIE Proceedings Vol. 7146:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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