Computational Intelligence Based Hyperspectral Image Analysis and Applications, Gebunden
Computational Intelligence Based Hyperspectral Image Analysis and Applications
- Volume 2
- Publisher:
- Anu Bajaj, Ajith Abraham
- Publisher:
- Springer, 08/2025
- Binding:
- Gebunden
- Language:
- Englisch
- ISBN-13:
- 9783031831263
- Item number:
- 12445453
- Volume:
- 328 Pages
- Weight:
- 716 g
- Format:
- 241 x 160 mm
- Thickness:
- 23 mm
- Release date:
- 1.8.2025
- Note
-
Caution: Product is not in German language
Blurb
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.
Biography (Ajith Abraham)
Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).
