Statistics for Imaging, Optics, and Photonics (Hardcover) (成像、光學與光子學的統計學)

Peter Bajorski

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商品描述

A vivid, hands-on discussion of the statistical methods in imaging, optics, and photonics applications

In the field of imaging science, there is a growing need for students and practitioners to be equipped with the necessary knowledge and tools to carry out quantitative analysis of data. Providing a self-contained approach that is not too heavily statistical in nature, Statistics for Imaging, Optics, and Photonics presents necessary analytical techniques in the context of real examples from various areas within the field, including remote sensing, color science, printing, and astronomy.

Bridging the gap between imaging, optics, photonics, and statistical data analysis, the author uniquely concentrates on statistical inference, providing a wide range of relevant methods. Brief introductions to key probabilistic terms are provided at the beginning of the book in order to present the notation used, followed by discussions on multivariate techniques such as:

  • Linear regression models, vector and matrix algebra, and random vectors and matrices

  • Multivariate statistical inference, including inferences about both mean vectors and covariance matrices

  • Principal components analysis

  • Canonical correlation analysis

  • Discrimination and classification analysis for two or more populations and spatial smoothing

  • Cluster analysis, including similarity and dissimilarity measures and hierarchical and nonhierarchical clustering methods

Intuitive and geometric understanding of concepts is emphasized, and all examples are relatively simple and include background explanations. Computational results and graphs are presented using the freely available R software, and can be replicated by using a variety of software packages. Throughout the book, problem sets and solutions contain partial numerical results, allowing readers to confirm the accuracy of their approach; and a related website features additional resources including the book's datasets and figures.

Statistics for Imaging, Optics, and Photonics is an excellent book for courses on multivariate statistics for imaging science, optics, and photonics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for professionals working in imaging, optics, and photonics who carry out data analyses in their everyday work.

商品描述(中文翻譯)

生動且實用的影像、光學及光子應用中的統計方法討論

在影像科學領域,學生和從業者對於具備必要的知識和工具以進行數據的定量分析的需求日益增加。《影像、光學與光子統計學》提供了一種自成體系的方式,並不過於偏重統計本身,將必要的分析技術置於來自該領域各個領域的實際例子中,包括遙感、色彩科學、印刷和天文學。

本書在影像、光學、光子學與統計數據分析之間架起橋樑,作者獨特地專注於統計推斷,提供一系列相關的方法。書的開頭提供了關鍵機率術語的簡要介紹,以便呈現所使用的符號,隨後討論多變量技術,例如:

- 線性回歸模型、向量和矩陣代數,以及隨機向量和矩陣
- 多變量統計推斷,包括對均值向量和協方差矩陣的推斷
- 主成分分析
- 典型相關分析
- 針對兩個或多個族群的區別與分類分析及空間平滑
- 聚類分析,包括相似性和不相似性度量以及層次和非層次聚類方法

本書強調對概念的直觀和幾何理解,所有例子相對簡單並包含背景解釋。計算結果和圖表使用免費的 R 軟體呈現,並可透過各種軟體包進行重現。全書中的習題和解答包含部分數值結果,讓讀者能確認其方法的準確性;相關網站則提供額外資源,包括書中的數據集和圖形。

《影像、光學與光子統計學》是針對影像科學、光學和光子學的多變量統計課程的優秀書籍,適合高年級本科生和研究生使用。本書同時也是從事影像、光學和光子學的專業人士在日常工作中進行數據分析的寶貴參考資料。