Astronomical Image and Data Analysis
by J.-L. Starck, F. Murtagh
Publisher: Springer 2006
ISBN/ASIN: 3540330240
ISBN-13: 9783540330240
Number of pages: 335
Description:
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. 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.
Download or read it online for free here:
Read online
(online preview)
Similar books
Fundamentals of Image Processingby Hany Farid - Dartmouth College
Contents: Mathematical Foundations; Discrete-Time Signals and Systems; Linear Time-Invariant Systems; Sampling; Digital Filter Design; Photons to Pixels; Point-Wise Operations; Linear Filtering; Non-Linear Filtering; Multi-Scale Transforms; etc.
(9551 views)
Image Fusion and Its Applicationsby Yufeng Zheng - InTech
The book provides an overview of basic image fusion techniques and an introduction to image fusion applications in various fields. The book is useful for researchers to capture recent developments and to spark new ideas in image fusion domain.
(11292 views)
Getting Started with MakerBotby Bre Pettis, Jay Shergill - O'Reilly Media
Get a hands-on introduction to the world of personal fabrication with the MakerBot, the easiest and most affordable rapid prototyper available. This book shows you how the MakerBot open source 3D printer democratizes manufacturing.
(11098 views)
Image Processing and Data Analysis: The Multiscale Approachby J. Starck, F.D. Murtagh, A. Bijaoui - Cambridge University Press
An introduction to a range of image-processing techniques with practical examples of applications in electrical engineering, astronomy, physics, and medical imaging. A guide to exciting data-analysis techniques for students and researchers.
(14233 views)