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Computational Intelligence Based Hyperspectral Image Processing

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Computational Intelligence Based Hyperspectral Image Processing Synopsis

Hyperspectral imaging has revolutionized fields ranging from environmental monitoring to medical diagnostics by providing detailed spectral information across vast datasets. However, the complexity and high dimensionality of hyperspectral data pose significant challenges in analysis and interpretation. "Computational Intelligence based Hyperspectral Image Processing" is a comprehensive guide to overcoming these challenges by leveraging the latest computational intelligence techniques. This Volume comprises of 9 chapters that illustrate how computational intelligence-based solutions has been successful to improve efficiency and productivity, quality control, and in enhancing innovation and competitiveness with cost reduction. This book is an essential resource for researchers, professionals, and students working in remote sensing, image processing, and computational intelligence. Whether you're new to the field or looking to deepen your expertise, this book provides the tools and knowledge you need to succeed in the fast-evolving world of hyperspectral imaging.

About This Edition

ISBN: 9783031831225
Publication date:
Author: Anu Bajaj, Ajith Abraham
Publisher: Springer an imprint of Springer Nature Switzerland
Format: Hardback
Pagination: 218 pages
Series: Intelligent Systems Reference Library
Genres: Artificial intelligence
Machine learning
Computer vision
Digital signal processing (DSP)
Electronics engineering
Databases

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