Paper
2 December 2005 A wireless service grid technology-based remote sensing applicable service model
Jinsong Gao, Fangfang Li, Zequn Guan, Xingliang Mao
Author Affiliations +
Proceedings Volume 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications; 60450C (2005) https://doi.org/10.1117/12.650272
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
Abstract
The existing technologies for remote sensing image processing are rather limited in both the capability of processing large amount of data and the methods for image processing. Applying wireless and grid technologies to remote sensing information processing, this paper puts forward a remote sensing application services model based on wireless service grid technology, with agent technology being one of the main technologies. The agent takes on users' tasks submission, transmission, processing, executing, and results retrieval. The grid is constructed by combining the wired net and wireless net. Single node failure doesn't influence the running of whole grid. Every grid service server can be supported with some service realization nodes downward, which can themselves be supported with some sub-nodes downwards. This model is validated by an experiment, and it is confirmed that this model can adapt to a huge amount of remote sensing information service requests. With the service speed and efficiency enhanced greatly, this model is expected to be widely applicable.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jinsong Gao, Fangfang Li, Zequn Guan, and Xingliang Mao "A wireless service grid technology-based remote sensing applicable service model", Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60450C (2 December 2005); https://doi.org/10.1117/12.650272
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Remote sensing

Image processing

Computing systems

Data processing

Data conversion

Databases

Data modeling

RELATED CONTENT

Common hyperspectral image database design
Proceedings of SPIE (November 24 2009)
DOM database based on ArcSDE
Proceedings of SPIE (November 10 2008)

Back to Top