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Proceedings Paper

Study on the model of distributed remote sensing data processing based on agent grid
Author(s): Xining Zhang; Deren Li; Jingliang Li
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Paper Abstract

The increments of high-resolution remote sensing data about Digital Earth and the distributed data among heterogeneous remote sites have brought challenges to processing remote sensing data effectively. Traditional models of distributed computing are inadequate to support such complex applications. Agent technology provides a new method for understanding the features of distributed system and solving distributed application problems. This paper proposes a model for distributed remote sensing data processing based on agent grid. This model makes use of grid to discover, compose, utilize and deploy agents, process distributed image data, and image-processing algorithms. "Agents Group" mode is used in the model to manage all the agents distributed in the grid, which consists of one or more agents to accomplish automatic and dynamic configuration of distributed image data resources and to efficiently support ondemand image processing in distributed environment. The model, framework and implementation of prototype are reported in this paper.

Paper Details

Date Published: 28 October 2006
PDF: 6 pages
Proc. SPIE 6421, Geoinformatics 2006: Geospatial Information Technology, 64211A (28 October 2006); doi: 10.1117/12.713190
Show Author Affiliations
Xining Zhang, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)
Jingliang Li, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6421:
Geoinformatics 2006: Geospatial Information Technology
Huayi Wu; Qing Zhu, Editor(s)

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