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Computational intelligence based hyperspectral image analysis and applications.Volume 2

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational intelligence based hyperspectral image analysis and applications.edited by Anu Bajaj, Ajith Abraham.
other author:	Bajaj, Anu.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xiv, 312 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Hyperspectral imaging.
Online resource:	https://doi.org/10.1007/978-3-031-83127-0
ISBN:	9783031831270$q(electronic bk.)

Computational intelligence based hyperspectral image analysis and applications.Volume 2
Computational intelligence based hyperspectral image analysis and applications.Volume 2[electronic resource] /edited by Anu Bajaj, Ajith Abraham. - Cham :Springer Nature Switzerland :2025. - xiv, 312 p. :ill., digital ;24 cm. - Intelligent systems reference library,v. 2691868-4408 ;. - Intelligent systems reference library ;v.24..

Hyperspectral 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.

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.

ISBN: 9783031831270$q(electronic bk.)

Standard No.: 10.1007/978-3-031-83127-0doiSubjects--Topical Terms:

972101
Hyperspectral imaging.

LC Class. No.: TR267.73

Dewey Class. No.: 621.367

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