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Proceedings Paper

Automated knowledge extraction based on scientific workflow for satellite remote sensing data
Author(s): Chaoyang Fang; Hui Lin; Junxian Zhang
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Paper Abstract

This paper proposed a scientific work flow system framework to realize information automatically extracted for satellite remote sensing data. The article first discusses the importance of automatic extraction of knowledge for remote sensing data; second, introduces definition, development, and types of scientific work flow technology, and adopt WebService-based technology to building scientific work flow; then, describes the implementation of spatio-temporal work flow management system (STWFMS); finally, two application system of remote sensing data were introduced to demonstrate automated knowledge extraction based on scientific workflow.

Paper Details

Date Published: 10 November 2008
PDF: 8 pages
Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 714624 (10 November 2008); doi: 10.1117/12.813169
Show Author Affiliations
Chaoyang Fang, The Chinese Univ. of Hong Kong (Hong Kong, China)
Hui Lin, The Chinese Univ. of Hong Kong (Hong Kong, China)
Junxian Zhang, The Chinese Univ. of Hong Kong (Hong Kong, China)
Jianxi Normal 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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