SAR Image Analysis, Modeling, and Techniques XVI.
Title | SAR Image Analysis, Modeling, and Techniques XVI. PDF eBook |
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ISBN | 9781510604117 |
Processing of Synthetic Aperture Radar (SAR) Images
Title | Processing of Synthetic Aperture Radar (SAR) Images PDF eBook |
Author | Henri Maître |
Publisher | John Wiley & Sons |
Pages | 311 |
Release | 2013-05-10 |
Genre | Technology & Engineering |
ISBN | 1118623908 |
Synthetic aperture radar provides broad-area imaging at high resolutions, which is used in applications such as environmental monitoring, earth-resource mapping, and military systems. This book presents the tools required for the digital processing of synthetic aperture radar images. They are of three types: (a) the elements of physics, (b) mathematical models and (c) image processing methods adapted to particular applications.
SAR Image Analysis, Modeling, and Techniques II
Title | SAR Image Analysis, Modeling, and Techniques II PDF eBook |
Author | Francesco Posa |
Publisher | SPIE-International Society for Optical Engineering |
Pages | 170 |
Release | 1999 |
Genre | Computers |
ISBN |
This text brings together 18 papers that examine SAR image analysis, and its modelling and techniques
SAR Image Analysis, Modeling and Techniques
Title | SAR Image Analysis, Modeling and Techniques PDF eBook |
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Pages | 180 |
Release | 1999 |
Genre | Remote sensing |
ISBN |
SAR Image Analysis, Modeling, and Techniques XII.
Title | SAR Image Analysis, Modeling, and Techniques XII. PDF eBook |
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Release | 2012 |
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SAR Image Analysis - A Computational Statistics Approach
Title | SAR Image Analysis - A Computational Statistics Approach PDF eBook |
Author | Alejandro C. Frery |
Publisher | John Wiley & Sons |
Pages | 307 |
Release | 2022-07-20 |
Genre | Technology & Engineering |
ISBN | 111979546X |
SAR IMAGE ANALYSIS — A COMPUTATIONAL STATISTICS APPROACH Discover how to use statistics to extract information from SAR imagery In SAR Image Analysis — A Computational Statistics Approach, an accomplished team of researchers delivers a practical exploration of how to use statistics to extract information from SAR imagery. The authors discuss various models, supply sample data and code, and explain theoretical aspects of SAR image analysis that are highly relevant to practitioners and students. The book offers the theoretical properties of models, estimators, interpretation, data visualization, and advanced techniques, along with the data and code samples, that students require to learn effectively and efficiently. SAR Image Analysis — A Computational Statistics Approach provides various exercises throughout the book to help readers reinforce and retain the extensive information on parameter estimation, applications, reproducibility, replicability, and advanced topics, like robust estimators and stochastic distances, contained within. The book also includes: Thorough introductions to data acquisition and the elements of data analysis and image processing with R, including useful R packages, preprocessing SAR data, and visualization Comprehensive explorations of intensity SAR data and the multiplicative model, including the (SAR) gamma distribution, the K distribution, the G0 distribution, and more general distributions under the multiplicative model Practical discussions of parameter estimations, including the Bernoulli distribution, the negative binomial distribution, and the uniform distribution In-depth examinations of applications, including statistical filters and classification Perfect for undergraduate and graduate students studying remote sensing, data analysis, and statistics, SAR Image Analysis — A Computational Statistics Approach is also an indispensable resource for researchers, practitioners, and professionals seeking a one-stop resource on how to use statistics to extract information from SAR imagery.
Understanding Synthetic Aperture Radar Images
Title | Understanding Synthetic Aperture Radar Images PDF eBook |
Author | Chris Oliver |
Publisher | SciTech Publishing |
Pages | 510 |
Release | 2004 |
Genre | Technology & Engineering |
ISBN | 1891121316 |
This practical reference shows SAR system designers and remote sensing specialists how to produce higher quality SAR images using data-driven algorithms, and apply powerful new techniques to measure and analyze SAR image content.