Astronomical Image and Data Analysis

  • Authors
  • J.-L.¬†Starck
  • F.¬†Murtagh

Part of the Astronomy and Astrophysics Library book series (AAL)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. J.-L. Starck, F. Murtagh
    Pages 1-27
  3. J.-L. Starck, F. Murtagh
    Pages 29-70
  4. J.-L. Starck, F. Murtagh
    Pages 71-110
  5. J.-L. Starck, F. Murtagh
    Pages 111-135
  6. J.-L. Starck, F. Murtagh
    Pages 137-173
  7. J.-L. Starck, F. Murtagh
    Pages 175-199
  8. J.-L. Starck, F. Murtagh
    Pages 201-232
  9. J.-L. Starck, F. Murtagh
    Pages 233-266
  10. J.-L. Starck, F. Murtagh
    Pages 267-283
  11. J.-L. Starck, F. Murtagh
    Pages 285-287
  12. Back Matter
    Pages 289-335

About this book


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.


Astronomical Cataloge Astronomical Data Analysis Data Filtering Data Storage Fourier transform Image Compression Multiscale Analysis Observational Astronomy Virtual Observatory Wavelet algorithms data analysis data mining pattern recognition

Bibliographic information