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OverviewComputational 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. Full Product DetailsAuthor: Anu Bajaj , Ajith AbrahamPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Volume: 269 ISBN: 9783031831263ISBN 10: 3031831268 Pages: 312 Publication Date: 01 August 2025 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsHyperspectral Imaging for the Diagnosis of Latent Tuberculosis Infection.- Hyperspectral Image Analysis for Plant Water Stress Assessment Using One-Dimensional Convolutional Neural Network.- Hyperspectral image synthesis from RGB images applied to wildfire detection.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |