Machine Learning-Based Hyperspectral Image Processing
by
Bing Zhang
Book Details
Format
Hardback or Cased Book
ISBN-10
1394267851
ISBN-13
9781394267859
Publisher
John Wiley & Sons Inc
Imprint
Wiley-IEEE Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 29th, 2025
Print length
768 Pages
Product Classification:
Electronics & communications engineering
Ksh 20,350.00
Not Yet Published
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An authoritative deep dive into the most recent machine learning approaches to hyperspectral remote sensing image processing In Machine Learning-Based Hyperspectral Image Processing, distinguished researcher Dr. Bing Zhang delivers an up-to-date discussion of machine learning-based approaches to hyperspectral image analysis. The author comprehensively reviews machine learning approaches to hyperspectral image denoising and super-resolution tasks, offering coverage of a variety of perspectives. Dr. Zhang also explores the most recent research on machine learning hyperspectral unmixing methods and hyperspectral image classification. He explains the algorithms used for hyperspectral image target and change detection, as well. Readers will also find: A thorough introduction to the novel concept of applying advanced machine learning techniques to the analysis of hyperspectral imageryComprehensive explorations of the most recent developments in this technology and its applicationsPractical discussions of how to effectively process and extract valuable insights from hyperspectral dataComplete treatments of a variety of hyperspectral remote sensing image processing tasks, including classification, target detection, and change detection. Perfect for postgraduate students and research scientists with an interest in the subject, Machine Learning-Based Hyperspectral Image Processing will also benefit researchers, academicians, and students engaged in machine learning-based approaches to image analysis.
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