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

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.

在《SAR影像分析-計算統計方法》中，一個經驗豐富的研究團隊提供了一個實用的探索，教導如何使用統計方法從SAR影像中提取信息。作者討論了各種模型，提供了樣本數據和代碼，並解釋了對從業人員和學生非常相關的SAR影像分析的理論方面。

該書提供了模型、估計器、解釋、數據可視化和高級技術的理論性質，以及學生學習所需的數據和代碼示例，以便有效和高效地學習。

《SAR影像分析-計算統計方法》在整本書中提供了各種練習，幫助讀者鞏固和保留有關參數估計、應用、可重現性、可複製性和高級主題（如魯棒估計器和隨機距離）的廣泛信息。

該書還包括：

- 對使用R進行數據獲取、數據分析和影像處理的詳細介紹，包括有用的R包、SAR數據預處理和可視化。
- 對強度SAR數據和乘法模型的全面探討，包括（SAR）伽瑪分布、K分布、G0分布和更一般的乘法模型下的分布。
- 對參數估計的實用討論，包括伯努利分布、負二項分布和均勻分布。
- 對應用的深入研究，包括統計濾波器和分類。

《SAR影像分析-計算統計方法》非常適合攻讀遙感、數據分析和統計學的本科生和研究生，同時也是研究人員、從業人員和專業人士的必備資源，教導如何使用統計方法從SAR影像中提取信息。

Alejandro C. Frery, PhD, is Professor of Statistics and Data Science at the School of Mathematics and Statistics at Victoria University at Wellington, New Zealand. He earned his doctorate in Applied Computing at the National Institute for Space Research in Brazil.

Jie Wu, PhD, is Associate Professor at the School of Computer Science, Shaanxi Normal University, China. He received his doctorate in Computer Science and Technology from Xidian University in China.

Luis Gomez, PhD, is Associate Professor at the School of Telecommunications and Electronics Engineering, University of Las Palmas de Gran Canaria, Spain. He received his doctorate in Telecommunication Engineering from the Universidad de Las Palmas de Gran Canaria.

Alejandro C. Frery, 博士，是紐西蘭威靈頓維多利亞大學數學與統計學院的統計學和數據科學教授。他在巴西國家太空研究所獲得應用計算博士學位。

Jie Wu, 博士，是中國陜西師範大學計算機科學學院的副教授。他在中國西安電子科技大學獲得計算機科學與技術博士學位。

Luis Gomez, 博士，是西班牙拉斯帕爾馬斯大學電信與電子工程學院的副教授。他在拉斯帕爾馬斯大學獲得電信工程博士學位。