Logo

Astronomical Image and Data Analysis

Large book cover: Astronomical Image and Data Analysis

Astronomical Image and Data Analysis
by

Publisher: Springer
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.

Home page url

Download or read it online for free here:
Download link
(5.4MB, PDF)

Similar books

Book cover: Getting Started with MakerBotGetting Started with MakerBot
by - 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.
(5760 views)
Book cover: Effective Video Coding for Multimedia ApplicationsEffective Video Coding for Multimedia Applications
by - InTech
The book revolves around three different challenges namely (i) Coding strategies (coding efficiency and computational complexity), (ii) Video compression and (iii) Error resilience. The complete efficient video system depends upon source coding.
(4095 views)
Book cover: Digital Image ProcessingDigital Image Processing
by - BookBoon
This book introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation.
(10844 views)
Book cover: Active ContoursActive Contours
by - Springer
'Active Contours' is about the computer analysis of moving video images. The authors develop geometric and probabilistic models for shapes and their dynamics. The models are applied to the real-time analysis of shapes in motion.
(8235 views)