@article{66f689e8ecf94e3c831ee026d6417a64,
title = "Distributed visual infomation managemrnt in astronomy",
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.",
keywords = "Information management, astronomy, image coding, infrared imaging, catalogs, image resolution, data visualisation, information retrieval, Entropy, Signal to noise ratio, astronomy computing, data compression, large-image visualization, multiple-resolution information, compression rate, distributed visual information management",
author = "Fionn Murtagh and Starck, {Jean Luc} and Mireille Louys",
year = "2002",
month = nov,
day = "1",
doi = "10.1109/MCISE.2002.1046592",
language = "English",
volume = "4",
pages = "14--23",
journal = "IEEE Computational Science & Engineering",
issn = "1521-9615",
publisher = "IEEE Computer Society",
number = "6",
}