Machine-Learning-Based Hyperspectral Image by Bing Zhang (.PDF)
File Size: 115.1 MB
Machine-Learning-Based Hyperspectral Image Processing by Bing Zhang
Requirements: .PDF reader, 115.1 MB | True PDF
Overview: An authoritative deep dive into the most recent Machine Learning approaches to hyperspectral remote sensing image processing. In Machine-Learning-Based Hyperspectral Image Processing, a team of distinguished researchers led by Dr. Bing Zhang delivers an up-to-date discussion of Machine Learning-based approaches to hyperspectral image analysis. The contributors comprehensively review Machine Learning approaches to hyperspectral image denoising and super-resolution tasks, offering coverage of a variety of perspectives. The book also explores the most recent research on Machine Learning hyperspectral unmixing methods and hyperspectral image classification. It explains the algorithms used for hyperspectral image target and change detection, as well. 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.
Genre: Non-Fiction > Tech & Devices
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