rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Astronomical Image and Data Analysis
  name:
    name part: Starck, J.-L.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Murtagh, F.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2006
    edition: 2.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 338 p. online resource.
  abstract: With information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis using 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 draw upon decades of experience. They have been playing leading roles in 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. This second edition of Starck and Murtagh's highly appreciated reference again deals with topics that are at or beyond the state of the art. It presents material which is more algorithmically oriented than most alternatives and broaches new areas like ridgelet and curvelet transforms. Throughout the book various additions and updates have been made.
  table of contents: Introduction to Applications and Methods -- 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: A trous Wavelet Transform -- Appendix B: Picard Iteration -- Appendix C: Wavelet Transform Using the Fourier Transform -- Appendix D: Derivative Needed for the Minimization -- Appendix E: Generalization of the Derivative Needed for Minimization -- Appendix F: Software and Related Developments.-References -- Index.
  note: by J.-L. Starck, F. Murtagh.
  subject:
    topic: Physics
  subject:
    topic: Database management
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Observations, Astronomical
  subject:
    topic: Astronomy
    topic: Observations
  subject:
    topic: Statistics
  subject:
    topic: Physics
  subject:
    topic: Astronomy, Observations and Techniques
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Database Management
  subject:
    topic: Information Storage and Retrieval
  classification: QB4
  classification: 520
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Astronomy and Astrophysics Library
  identifier: 9783540330257
  identifier: http://dx.doi.org/10.1007/978-3-540-33025-7
  record info:
    record creation date: 100301
    record change date: 20151204181341.0
    record identifier: 978-3-540-33025-7