Astronomical Image and Data Analysis

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.

Author: J.-L. Starck

Publisher: Springer Science & Business Media

ISBN: 3540330259

Category: Science

Page: 338

View: 441

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 Image and Data Analysis

Astronomical Data Analysis Software and Systems X, p. 74, Astronomical Society of the Pacific Bontekoe, T., Koper, E., and Kester, D.: 1994, Pyramid maximum entropy images of IRAS survey data, Astronomy and Astrophysics 284, ...

Author: J.-L. Starck

Publisher: Springer Science & Business Media

ISBN: 3662049066

Category: Science

Page: 291

View: 178

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. 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.

Data Analysis in Astronomy

to produce similar data in the optical band. The raw data returned by the Einstein X-ray satellite were a series of events, each tagged with a time, energy and two spatial coordinates and it was from these events that images were ...

Author: V. di Gesù

Publisher: Springer Science & Business Media

ISBN: 1461594332

Category: Science

Page: 541

View: 548

The international Workshop on "Data Analysis in Astronomy" was in tended to give a presentation of experiences that have been acqui red in data analysis and image processing, developments and appli cations that are steadly growing up in Astronomy. The quality and the quantity of ground and satellite observations require more so phisticated data analysis methods and better computational tools. The Workshop has reviewed the present state of the art, explored new methods and discussed a wide range of applications. The topics which have been selected have covered the main fields of interest for data analysis in Astronomy. The Workshop has been focused on the methods used and their significant applications. Results which gave a major contribution to the physical interpre tation of the data have been stressed in the presentations. Atten tion has been devoted to the description of operational system for data analysis in astronomy. The success of the meeting has been the results of the coordinated effort of several people from the organizers to those who presen ted a contribution and/or took part in the discussion. We wish to thank the members of the Workshop scientific committee Prof. M. Ca paccioli, Prof. G. De Biase, Prof. G. Sedmak, Prof. A. Zichichi and of the local organizing committee Dr. R. Buccheri and Dr. M.C. Macca rone together with Miss P. Savalli and Dr. A. Gabriele of the E. Majo rana Center for their support and the unvaluable part in arranging the Workshop.

Data Analysis in Astronomy III

II Conference on Image Analysis and Processing, Selva di Fasano, Italia Dacey M. F., 1970, The syntax of a ... Design of a Pattern-Directed System for the interpretation of digitized astronomical images, in "Data Analysis in Astronomy”, ...

Author: V. di Gesù

Publisher: Springer Science & Business Media

ISBN: 1468456466

Category: Science

Page: 417

View: 259

In the book are reported the main results presented at the Third International Workshop on Data Analysis in Astronomy, held at the EUore Majorana Center for Scientific Culture, Erice, Sicily, Italy, on June 20-27,1988. The Workshop was the natural evolution of the two previous ones. The main goal of the first edition (Erice 1984) was to start a scientific interaction between Astronomers and Computer Scientists. Aim of the second (Erice 1986) was to look at the progress in data analysis methods and dedicated hardware technology. Data analysis problems become harder whenever the data are poor in statistics or the signal is weak and embedded in structured background. Experiments collecting data of such a nature require new and non-standard methodologies. Possibilistic approaches could be merged with the statistical ones, in order to formalize all the knowledge used by the scientists to reach conclusions. Moreover, the last decade has been characterized by very fast developments of Intelligent Systems for data analysis (knowledge based systems, ... ) that would be useful to support astronomers in complex decision making. For these reasons, the last edition of the workshop was intended to provide an overview on the state of the art in the data analysis methodologies and tools in the new frontieres of the astrophysics (y-astronomy, neutrino astronomy, gravitational waves, background radiation and extreme cosmic ray energy spectrum). The book is organized in two sections: - Data analysis methods and tools, - New frontieres in astronomy.

Data Analysis in Astronomy II

greatly slow down the interface, and what may be worse, require the parallel image processor to spend a great deal of its time in input and output operations. APPLICATIONS IN ASTRONOMY While the majority of the data-analysis problems ...

Author: V. di Gesù

Publisher: Springer Science & Business Media

ISBN: 1461322499

Category: Science

Page: 399

View: 506

The II international workshop on "Data Analysis in Astronomy" was intended to provide an overview on the state of the art and the trend in data analy sis and image processing in the context of their applications in Astronomy. The need for the organization of a second workshop in this subject derived from the steady. growing and development in the field and from the increasing cross-interaction between methods, technology and applications in Astronomy. The book is organized in four main sections: - Data Analysis Methodologies - Data Handling and Systems dedicated to Large Experiments - Parallel Processing - New Developments The topics which have been selected cover some of the main fields in data analysis in Astronomy. Methods that provide a major contribution to the physical interpretation of the data have been considered. Attention has been devoted to the description of the data analysis and handling organization in very large experiments. A review of the current major satellite and ground based experiments has been included. At the end of the book the following 'Panel Discussions' are included: - Data Analysis Trend in Optical and Radio Astronomy - Data Analysis Trend in X and Gamma Astronomy - Problems and Solutions in the Design of Very Large Experiments - Trend on Parallel Processing Algorithms These contributions in a sense summarize the 'live' reaction of the audience to the various topics.

Image Processing and Data Analysis

For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.

Author: Jean-Luc Starck

Publisher: Cambridge University Press

ISBN: 9780521590846

Category: Science

Page: 297

View: 553

Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avant-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.

Literature 1985 Part 2

036.242 SAIA: a system for astronomical image analysis. B. Garilli, P. Mussio, A. Rampini. Data analysis in astronomy, p. 257–261 (1985). – See Abstr. 012.096. SAIA is the Milano image processing system designed to analyse astronomical ...

Author: S. Böhme

Publisher: Springer Science & Business Media

ISBN: 3662111780

Category: Science

Page: 1098

View: 703

Astronomy and Astrophysics Abstracts aims to present a comprehensive documen tation ofthe literatme concerning all aspects of astronomy, astrophysics, and their border fields. lt is devoted to the recording, summarizing, and indexing of the relevant publications throughout the world. Astronomy and Astrophysics Abstracts is prepared by a special department of the Astronomisches Rechen-Institut under the auspices of the International Astronomical Union. Volume 40 records literatme published in 1985 and received before February 15, 1986. Some older documents which we received late and which arenot surveyed in earlier volumes are included too. We acknowledge with thanks contributions of our colleagues all over the world. We also express our gratitude to all organiza tions, observatories, and publishers which provide us with complimentary copies of their publications. Starting with Volume 33, all the recording, correction, and data processing work was dorre by means of computers. The recording was dorre by om technical staff members Ms. Helga Ballmann, Ms. Mona El-Choura (t), Ms. Monika Kohl, Ms. Sylvia Matyssek. Ms. Karirr Burkhardt, Ms. Susanne Schlötelbmg, Mr. Mar tin Schlötelburg, and Mr. Stefan Wagner supported om task by careful proof reading. lt is a pleasure to thank them all for their encomagement.

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

References 1. Tody, D.: The iraf data reduction and analysis system. In: 1986 Astronomy Conferences, International Society for Optics and Photonics, pp. 733–748 (1986) 2. Starck, J., Murtagh, F.: Astronomical image and data analysis.

Author: José Ruiz-Shulcloper

Publisher: Springer

ISBN: 3642418279

Category: Computers

Page: 573

View: 775

The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013. The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.

Selected Topics on Data Analysis in Astronomy

Wells, D.C. 1985 “NRAO's Astronomical Image Processing System (AIPS)”, pp. 195-209 in [1]. This paper is the only published overview of the AIPS project. [15 ] [16] Albrecht, R. (ed.) 1981 “Space Telescope Science Data Analysis Software ...

Author: L Scarsi

Publisher: World Scientific

ISBN: 9814507849

Category:

Page: 180

View: 809

The main topics covered by the book regard the new developments of the methods and computer architectures in the field of Data Analysis in Astronomy and Astrophysics. The materials presented here is comprehensive and of interest to both experts in data analysis and students of an high degree course. The text is derived from lectures given during the tutorial sessions of the workshop on Data Analysis in Astronomy held at the Ettore Majorana Centre in Erice. Contents:Information in Astrophysics (V Castellani)Imaging in Radio Astronomy (L Feretti & M Vigotti)An Introduction to X-Ray Astronomy Data Analysis (M Morini)Computational Methods (P Grosbol)Evolution of Architectures for Data Processing (V Cantoni)Hardware for Graphics and Image Display (I De Lotto & M Savini)Data Analysis Systems (D Wells)Crystal Gazing V. Computer System Technology Projections (D Wells) Readership: Astronomists and atomic physicists.

Statistical Challenges in Modern Astronomy V

Image Processing, 12, 906–916 14. G ́orski, K.-M., et al. (2005) HEALPix: A framework for high-resolution discretization and fast analysis of data distributed on the sphere, Astron. J., 122, 759–771 15. Le-Pennec, E. & Mallet, ...

Author: Eric D. Feigelson

Publisher: Springer Science & Business Media

ISBN: 146143520X

Category: Mathematics

Page: 559

View: 759

This volume contains a selection of chapters based on papers to be presented at the Fifth Statistical Challenges in Modern Astronomy Symposium. The symposium will be held June 13-15th at Penn State University. Modern astronomical research faces a vast range of statistical issues which have spawned a revival in methodological activity among astronomers. The Statistical Challenges in Modern Astronomy V conference will bring astronomers and statisticians together to discuss methodological issues of common interest. Time series analysis, image analysis, Bayesian methods, Poisson processes, nonlinear regression, maximum likelihood, multivariate classification, and wavelet and multiscale analyses are all important themes to be covered in detail. Many problems will be introduced at the conference in the context of large-scale astronomical projects including LIGO, AXAF, XTE, Hipparcos, and digitized sky surveys.