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Hyperspectral image processing
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Hyperspectral image processing
Record Type:
Electronic resources : Monograph/item
Title/Author:
Hyperspectral image processingby Liguo Wang, Chunhui Zhao.
Author:
Wang, Liguo.
other author:
Zhao, Chunhui.
Published:
Berlin, Heidelberg :Springer Berlin Heidelberg :2016.
Description:
xvii, 315 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Remote-sensing images.
Online resource:
http://dx.doi.org/10.1007/978-3-662-47456-3
ISBN:
9783662474563$q(electronic bk.)
Hyperspectral image processing
Wang, Liguo.
Hyperspectral image processing
[electronic resource] /by Liguo Wang, Chunhui Zhao. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xvii, 315 p. :ill., digital ;24 cm.
Basic theory and main processing techniques of hyperspectral remote sensing -- Classification technique for HSI -- Endmember extraction technique of HSI -- Spectral unmixing technique of HSI -- Sub-pixel mapping technique of HSI -- Super-resolution technique of HSI -- Anomaly detection technique of HSI -- Dimensionality reduction and compression technique of HSI -- Introduction to hyperspectral remote sensing applications.
Based on the authors' research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping, and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.
ISBN: 9783662474563$q(electronic bk.)
Standard No.: 10.1007/978-3-662-47456-3doiSubjects--Topical Terms:
201934
Remote-sensing images.
LC Class. No.: G70.4
Dewey Class. No.: 621.3678
Hyperspectral image processing
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Basic theory and main processing techniques of hyperspectral remote sensing -- Classification technique for HSI -- Endmember extraction technique of HSI -- Spectral unmixing technique of HSI -- Sub-pixel mapping technique of HSI -- Super-resolution technique of HSI -- Anomaly detection technique of HSI -- Dimensionality reduction and compression technique of HSI -- Introduction to hyperspectral remote sensing applications.
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Based on the authors' research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping, and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.
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