Astronomical image and data analysis

著者

書誌事項

Astronomical image and data analysis

Jean-Luc Starck, Fionn Murtagh

(Astronomy and astrophysics library)(Physics and astronomy online library)

Springer, c2002

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注記

Includes bibliographical references (p. [265]-283) and index

内容説明・目次

内容説明

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.

目次

From the Contents: Filtering * Deconvolution * Detection * Image Compression * Multichannel Data * An Entropic Tour of Astronomical Data Analysis * Astronomical Catalog Analysis * Multiple Resolution in Data Storage and Retrieval * Towards the Virtual Observatory * Appendix A: Picard Iteration * Appendix B: Wavelet Transform Using the Fourier Transform * Appendix C: Derivative Needed for the Minimization * Appendix D: Generalization of the Derivative Needed for Minimization.

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詳細情報

  • NII書誌ID(NCID)
    BA58605576
  • ISBN
    • 3540428852
  • LCCN
    20074295
  • 出版国コード
    gw
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Berlin ; New York
  • ページ数/冊数
    xi, 289 p.
  • 大きさ
    25 cm
  • 親書誌ID
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