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Astronomical image and data analysis

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291
PAGES
~4h 51min
READING TIME
English
LANGUAGE
Springer London, Limited 4 views
ISBN
3642433537, 9783642433535
Editions
Hardcover
Paperback
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About Author

Fionn Murtagh

Fionn Murtagh, BA, BAI, MSc(Dubl), PhD(Paris), Habil.(Strasbourg), is a member of the Royal Irish Academy. Following roles as Head of Department and Head of School in other universities, Fionn Murtagh is Professor of Data Science at the School of Computing and Engineering in the University of Huddersfield, West Yorkshire, England, and is Director of, to be established, the Institute of Mathematics and Data Science at the University of Huddersfield. Source: [Royal Irish Academy](

First sentence

"May you live in interesting times!" ran the old Chinese wish...

Description

Using information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis through a modern arsenal of powerful techniques. It treats those innovative methods of image, signal, and data processing that are proving to be both effective and widely relevant. The authors are leaders in this rapidly developing field, and their many decades of experience include leading roles in current international projects such as the Virtual Observatory and the Grid. The book addresses not only students and professional astronomers and astrophysicists, but also serious amateur astronomers and specialists in earth observation, medical imaging, and data mining. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools.

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