The book SAR Image Analysis—A Computational Statistics Approach: With R Code, Data, and Applications stands out as an exceptional resource dedicated to statistical methodologies to extract information from synthetic aperture radar (SAR) imagery, all within a computational framework using R programming language. The book covers a wide range of topics in 183 pages and seven chapters, including a detailed overview of SAR data acquisition and its strong connection with specific concepts of non-Gaussian statistical models due to the physical properties of the scene. Its primary objective is to consolidate a comprehensive repository about well-established and state-of-the-art parametric models utilized in SAR image processing. It also addresses the critical task of parameter estimation, which is essential for extracting valuable information from the data. Moreover, all of the R codes and datasets are available at www.wiley.com/go/frery/sarimageanalysis, allowing readers to directly apply the concepts discussed and see their practical implications, making the learning experience more engaging as it bridges the gap between theory and practice.

中文翻译：

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SAR 图像分析——计算统计方法：使用 R 代码、数据和应用程序 [书评]


《SAR 图像分析 - 一种计算统计方法：使用 R 代码、数据和应用程序》一书是专门介绍从合成孔径雷达 (SAR) 图像中提取信息的统计方法的特殊资源，所有这些都在使用 R 编程语言的计算框架内进行。该书共 183 页、7 章，涵盖了广泛的主题，包括对 SAR 数据采集的详细概述，以及由于场景的物理特性而与非高斯统计模型的特定概念的紧密联系。其主要目标是整合一个关于 SAR 图像处理中使用的成熟且最先进的参数模型的综合存储库。它还解决了参数估计的关键任务，这对于从数据中提取有价值的信息至关重要。此外，所有 R 代码和数据集均可在 www.wiley.com/go/frery/sarimageanalysis 上获取，使读者能够直接应用所讨论的概念并了解其实际含义，从而使学习体验更具吸引力，因为它弥合了之间的差距理论与实践。