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Computational Intelligence Based Hyperspectral Image Analysis and Applications. Volume 2

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Computational Intelligence Based Hyperspectral Image Analysis and Applications. Volume 2 Synopsis

Computational Intelligence based Hyperspectral Image Analysis and Applications, the second volume in this series, delves into the practical implementation of cutting-edge computational intelligence techniques in hyperspectral imaging, offering a comprehensive exploration of advanced analysis methods and their real-world applications. This volume consists 12 chapters that cover key topics such as classification, segmentation, pan sharpening and a variety of impactful applications. Readers will discover how these techniques are applied in fields like material identification, medical imaging, agriculture, wildfire detection, and remote sensing. This volume brings together an expert group of contributors, whose collective knowledge and practical experience offer readers a unique perspective on how to harness the power of computational intelligence for solving complex challenges in hyperspectral image analysis.

About This Edition

ISBN: 9783031831263
Publication date:
Author: Anu Bajaj, Ajith Abraham
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Hardback
Pagination: 318 pages
Series: Intelligent Systems Reference Library
Genres: Artificial intelligence
Machine learning
Computer vision
Digital signal processing (DSP)
Electronics engineering
Databases

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