Paper
10 November 2008 Automated knowledge extraction based on scientific workflow for satellite remote sensing data
Chaoyang Fang, Hui Lin, Junxian Zhang
Author Affiliations +
Proceedings Volume 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses; 714624 (2008) https://doi.org/10.1117/12.813169
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chaoyang Fang, Hui Lin, and Junxian Zhang "Automated knowledge extraction based on scientific workflow for satellite remote sensing data", Proc. SPIE 7146, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Advanced Spatial Data Models and Analyses, 714624 (10 November 2008); https://doi.org/10.1117/12.813169
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Remote sensing

Satellites

Data modeling

Geographic information systems

Process modeling

Visualization

Web services

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