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Computational intelligence based hyperspectral image analysis and applications.. Volume 2

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational intelligence based hyperspectral image analysis and applications./ edited by Anu Bajaj, Ajith Abraham.
其他作者:	Bajaj, Anu.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiv, 312 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Hyperspectral imaging. -
電子資源:	https://doi.org/10.1007/978-3-031-83127-0
ISBN:	9783031831270

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. 269..

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

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

3711381
Hyperspectral imaging.

LC Class. No.: TR267.73

Dewey Class. No.: 621.367

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