"SAR Image Analysis - A Computational Statistics Approach describes, in a practical manner, how to use statistics to extract information from SAR imagery. It covers models, supplies data and code, and discusses theoretical aspects that are relevant to practitioners. This book expertly provides theoretical properties of adequate models, estimators, interpretation, data visualization, and advanced techniques, along with data and code snippets, suitable for students to learn effectively and practically. Comprised of 8 chapters ...
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"SAR Image Analysis - A Computational Statistics Approach describes, in a practical manner, how to use statistics to extract information from SAR imagery. It covers models, supplies data and code, and discusses theoretical aspects that are relevant to practitioners. This book expertly provides theoretical properties of adequate models, estimators, interpretation, data visualization, and advanced techniques, along with data and code snippets, suitable for students to learn effectively and practically. Comprised of 8 chapters, SAR Image Analyses offers readers a wealth of information, enabling them to use this information in Data Analysis and Statistics courses. This book enables readers to learn not just through theory, but through plenty of exercises demonstrates throughout. With R being the computational platform of choice, this text will be used by a large population of the statistical community, reaching wider audiences than your average day-to-day textbook."--
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