DocumentCode :
2024876
Title :
Network-oriented massive remote-sensing image organization and application
Author :
Rui, Cao ; Jie, Jiang ; Ling-da, Wu ; Jv-fang, Li
Author_Institution :
Key Lab. of C4 ISR Technol., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2010
fDate :
23-25 Nov. 2010
Firstpage :
964
Lastpage :
968
Abstract :
The developing network technology advances the wide application of massive high-resolution remote-sensing. A relative integral massive image data application system refers to the knowledge of data obtaining, organization, management, publication, index and scheduling, exploitation, etc. Based on the massive image management and publishing technology, this paper, making use of high-resolution image as dataset, does a deep research on the massive image data seamless integration and partitioned organization, constructs a image pyramid partition hierarchy model, and designs two kinds of coding and storage ways to provide disparate organization methods, which can meet needs of multipurpose network application.
Keywords :
image resolution; remote sensing; dataset; high-resolution image; image data application system; image management; image pyramid partition hierarchy model; massive high-resolution remote-sensing; multipurpose network application; network-oriented massive remote-sensing image organization; publishing technology; Data models; Image coding; Image resolution; Organizations; Remote sensing; Satellites; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-5856-1
Type :
conf
DOI :
10.1109/ICALIP.2010.5685159
Filename :
5685159
Link To Document :
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