Statistics for imaging, optics, and photonics

✍ Scribed by Peter Bajorski

• Publisher: Wiley
• Year: 2012
• Tongue: English
• Leaves: 394
• Series: Wiley series in probability and statistics.; SPIE monograph, 219
• Category: Library

✦ Synopsis

''This important resource bridges the gap between imaging, optics, and photonics, and statistics and data analysis. The text contains a wide range of relevant statistical methods including a review of the fundamentals of statistics and expanding into multivariate techniques. The techniques are explained in the context of real examples from remote sensing, multispectral and hyperspectral imaging, signal processing, color science, and other related disciplines. The book also emphasizes intuitive and geometric understanding of concepts. The topics that are most relevant to imaging, optics, and photonics applications are covered thoroughly. In addition, supplemental topics are discussed to provide an overview of when and how the methods can be used''-- Read more...

✦ Table of Contents

Content: Introduction --
Fundamentals of Statistics --
Statistical Inference --
Statistical Models --
Fundamentals of Multivariate Statistics --
Multivariate Statistical Inference --
Principal Component Analysis --
Canonical Correlation Analysis --
Discrimination and Classification - Supervised Learning --
Clustering - Unsupervised Learning --
Appendix A: Probability Distributions --
Appendix B: Data Sets --
Appendix C: Miscellanea.
Abstract:

This is the first book fully devoted to the implementation of statistical methods in imaging, optics, and photonics applications with a concentration on statistical inference. The text contains a wide range of relevant statistical methods, including a review of the fundamentals of statistics and expanding into multivariate techniques. Read more...