학술논문

Distributed visual information management in astronomy
Document Type
Periodical
Source
Computing in Science & Engineering Comput. Sci. Eng. Computing in Science & Engineering. 4(6):14-23 Jan, 2002
Subject
Computing and Processing
Bioengineering
Communication, Networking and Broadcast Technologies
Information management
Astronomy
Image coding
Infrared imaging
Catalogs
Image resolution
Data visualization
Information retrieval
Entropy
Signal to noise ratio
Language
ISSN
1521-9615
1558-366X
Abstract
Resolution scale is central to large-image visualization, offering one way to address astronomers' need to access and retrieve data. In addition, multiple-resolution information and entropy are closely related to compression rate, all three of which are related to the relevance and importance of information.