DocumentCode :
2486990
Title :
Panning and zooming the observable universe with prefix-matching indices and pixel-based overlays
Author :
Luciani, Timothy ; Sun, B. ; Cherinka, Brian ; Wood-Vasey, W. Michael ; Marai, G. Elisabeta ; Myers, S. ; Labrinidis, Alexandros
fYear :
2012
fDate :
14-15 Oct. 2012
Firstpage :
1
Lastpage :
8
Abstract :
We introduce a web-based, client-server computing infrastructure to assist the interactive navigation of large-scale astronomy observations. Large image datasets are partitioned into a spatial index structure that allows prefix-matching of spatial objects. In conjunction with pixel-based overlays, this approach allows fetching, displaying, panning and zooming of gigabit panoramas of the sky in real time. Images from three sky surveys (SDSS, FIRST and simulated LSST results) are cross-registered and integrated as overlays, allowing cross-spectrum analysis of astronomy observations. The front-end of the infrastructure uses the web technologies We-bGL and HTML5 to enable cross-platform, web-based functionality. Our approach attains interactive rendering framerates; its power and flexibility enables us to serve the needs of the astronomy community. Evaluation on a galaxy case study, as well as feedback from domain experts emphasize the benefits of this visual approach to the observational astronomy field.
Keywords :
Internet; astronomical image processing; client-server systems; cosmology; image fusion; image registration; interactive systems; rendering (computer graphics); FIRST results; HTML5; SDSS results; Web-based client-server computing infrastructure; Web-based functionality; WebGL; cross-spectrum analysis; data fusion; fetching; image cross-registeration; interactive navigation; interactive rendering framerates; large image datasets; large-scale astronomy observations; observable universe; panning; pixel-based overlays; prefix-matching indices; real time gigabit sky panoramas; simulated LSST results; sky surveys; spatial index structure; spatial objects; zooming; Astronomy; Catalogs; Indexing; Servers; Telescopes; Visualization; Data Fusion and Integration; Geographic/Geospatial Visualization; Scalability Issues; Zooming and Navigation Techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Large Data Analysis and Visualization (LDAV), 2012 IEEE Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4732-7
Type :
conf
DOI :
10.1109/LDAV.2012.6378961
Filename :
6378961
Link To Document :
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