SAR Image Analysis, A Computational Statistics Approach - With R Code, Data, and Applications

SAR Image Analysis — A Computational Statistics Approach is a book that provides a practical exploration of how to use statistics to extract information from SAR imagery. It offers theoretical properties of models, estimators, interpretation, data visualization, and advanced techniques, along with data and code samples, to help students learn effectively and efficiently. It also includes thorough introductions to data acquisition and the elements of data analysis and image processing with R, comprehensive explorations of intensity SAR data and the multiplicative model, practical discussions of parameter estimations, and in-depth examinations of applications.

Format: Hardback
Length: 208 pages
Publication date: 13 October 2022
Publisher: John Wiley and Sons Ltd

Discover the power of statistics in extracting valuable information from SAR imagery with SAR Image Analysis — A Computational Statistics Approach. This comprehensive guide is authored by a team of esteemed researchers, offering a practical exploration of the field. The book delves into various models, provides sample data and code, and elucidates theoretical aspects of SAR image analysis that are crucial for practitioners and students alike.

The book offers a comprehensive theoretical foundation, encompassing models, estimators, interpretation, data visualization, and advanced techniques. It includes data and code samples that empower students to learn effectively and efficiently, enabling them to grasp the intricacies of parameter estimation, applications, reproducibility, replicability, and advanced topics such as robust estimators and stochastic distances.

Throughout the book, numerous exercises reinforce and retain the extensive knowledge covered, including parameter estimation, applications, reproducibility, replicability, and advanced topics. Additionally, the book provides thorough introductions to data acquisition, data analysis, and image processing with R, along with useful R packages for preprocessing SAR data and visualization.

Comprehensive explorations of intensity SAR data and the multiplicative model are presented, encompassing the (SAR) gamma distribution, the K distribution, the G0 distribution, and more general distributions under the multiplicative model. Practical discussions of parameter estimations, such as the Bernoulli distribution, the negative binomial distribution, and the uniform distribution, are also included.

SAR Image Analysis — A Computational Statistics Approach is an invaluable resource for undergraduate and graduate students studying remote sensing. It provides a solid foundation in statistical techniques for analyzing SAR imagery, equipping students with the skills they need to succeed in this rapidly evolving field.

Weight: 544g
Dimension: 186 x 261 x 19 (mm)
ISBN-13: 9781119795292