Computational Intelligence Based Hyperspectral Image Analysis And Applications


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Computational Intelligence Based Hyperspectral Image Analysis and Applications


Computational Intelligence Based Hyperspectral Image Analysis and Applications

Author: Anu Bajaj

language: en

Publisher:

Release Date: 2025-03-31


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Computational Intelligence Based Hyperspectral Image Analysis and Applications


Computational Intelligence Based Hyperspectral Image Analysis and Applications

Author: Anu Bajaj

language: en

Publisher: Springer Nature

Release Date: 2025-09-01


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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.

Computational Intelligence based Hyperspectral Image Processing


Computational Intelligence based Hyperspectral Image Processing

Author: Anu Bajaj

language: en

Publisher: Springer Nature

Release Date: 2025-03-25


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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.