Design and implementation of a decentralized self-coordinating distributed remote sensing image processing system

Rui Wang; Zeyang Liu; Bin Chen

doi:10.1117/12.813180

11 November 2008 Design and implementation of a decentralized self-coordinating distributed remote sensing image processing system

Rui Wang, Zeyang Liu, Bin Chen

Author Affiliations +

Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 71462E (2008) https://doi.org/10.1117/12.813180
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Rui Wang, Zeyang Liu, and Bin Chen "Design and implementation of a decentralized self-coordinating distributed remote sensing image processing system", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 71462E (11 November 2008); https://doi.org/10.1117/12.813180

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