DocumentCode :
2854738
Title :
The Research on the Multi-source Data Assisting Remote Sensing Image Management and Issuing based on the Network
Author :
Wang, Xiaohua ; Wang, Shudong ; Cao, Xiuli ; Li, Qiu
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan
fYear :
2006
fDate :
July 31 2006-Aug. 4 2006
Firstpage :
1003
Lastpage :
1006
Abstract :
Because of characteristics of multi-source, multi-resolution, multi-temporal and mass storage of remote sensing image, management and issuing of remote sensing image based on web become more difficult, especially, pattern recognition of computer is hard to analyze and operate efficiently. With rapid development of GIS (geography information system), GIS shows great potential in various source data management, spatial analysis, data gain and so forth. With development of GIS and RS technology, research on using multi-source data (vector data, raster data, metadata and so forth) to issuing so complicated remote sensing image become very significant. In this paper, multi-source data, including GIS data, metadata and so forth, are researched to store, management, and to assist remote sensing image through web. The result proves show that users are easer to visit the system, and efficient of web server is increased compared with common system.
Keywords :
Internet; geographic information systems; image processing; remote sensing; China; GIS development; Remote Sensing technology; data management; geographic information systems; pattern recognition; remote sensing image; spatial analysis; web server; Computer network management; Data analysis; Geographic Information Systems; Geography; Image analysis; Image storage; Management information systems; Pattern analysis; Pattern recognition; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
Type :
conf
DOI :
10.1109/IGARSS.2006.258
Filename :
4241405
Link To Document :
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