UID:
almahu_9949199538502882
Umfang:
XI, 291 p. 136 illus., 45 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2002.
ISBN:
9783662049068
Serie:
Astronomy and Astrophysics Library,
Inhalt:
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.
Anmerkung:
1. Introduction to Applications and Methods -- 2. Filtering -- 3. Deconvolution -- 4. Detection -- 5. Image Compression -- 6. Multichannel Data -- 7. An Entropic Tour of Astronomical Data Analysis -- 8. Astronomical Catalog Analysis -- 9. Multiple Resolution in Data Storage and Retrieval -- 10. Towards the Virtual Observatory -- Appendix A: à 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 the Minimization -- Appendix F: Software and Related Developments.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783662049082
Weitere Ausg.:
Printed edition: ISBN 9783662049075
Weitere Ausg.:
Printed edition: ISBN 9783540428855
Sprache:
Englisch
DOI:
10.1007/978-3-662-04906-8
URL:
https://doi.org/10.1007/978-3-662-04906-8
