東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

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.
[NT 15003449]:	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
Subject:	Hyperspectral imaging. -
Online resource:	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

Computational intelligence based hyperspectral image analysis and applications.. Volume 2
LDR:02302nmm a2200337 a 4500 001 2414261
003 DE-He213
005 20250806172316.0
006 m d
007 cr nn 008maaau
008 260205s2025 sz s 0 eng d
020 $a 9783031831270 $q (electronic bk.)
020 $a 9783031831263 $q (paper)
024 7 $a 10.1007/978-3-031-83127-0 $2 doi
035 $a 978-3-031-83127-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TR267.73
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 621.367 $2 23
090 $a TR267.73 $b .C738 2025
245 0 0 $a Computational intelligence based hyperspectral image analysis and applications. $n Volume 2 $h [electronic resource] / $c edited by Anu Bajaj, Ajith Abraham.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiv, 312 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4408 ; $v v. 269
505 0 $a 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.
520 $a 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.
650 0 $a Hyperspectral imaging. $3 3711381
650 0 $a Image processing. $3 621117
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Digital and Analog Signal Processing. $3 3538815
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Data Engineering. $3 3409361
650 2 4 $a Computer Vision. $3 3538524
700 1 $a Bajaj, Anu. $3 3723059
700 1 $a Abraham, Ajith. $3 891046
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Intelligent systems reference library ; $v v. 269. $3 3790852
856 4 0 $u https://doi.org/10.1007/978-3-031-83127-0
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)