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Proceedings Paper

Discussion on remote sensing information processing service based on uniform semantic model
Author(s): Haigang Sui; Qian Li; Qin Zhan; Yuanyuan Feng
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Paper Abstract

With the rapid increase of remote-sensing information data, remote-sensing information processing becomes more important and complicated. However, the processing methods used lead to low processing speed, and make it difficult to realize resource sharing and mutual operation. Web Services technology can promote research into rapid processing and share of the remote-sensing data in a heterogeneous environment, so it can help to solve this problem. The existing problem is that descriptions of the service lack of well-defined semantic information and reasoning ability, so the computer can't understand the rich information from the network. Based on the situation mentioned above, this article puts forward a uniform semantic model to solve this kind of problem.

Paper Details

Date Published: 3 November 2008
PDF: 10 pages
Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71430G (3 November 2008); doi: 10.1117/12.812538
Show Author Affiliations
Haigang Sui, Wuhan Univ. (China)
Qian Li, Wuhan Univ. (China)
Qin Zhan, Wuhan Univ. (China)
Yuanyuan Feng, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7143:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Aijun Chen, Editor(s)

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