Hyperspectral Image Processing

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-ba...

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Bibliographic Details
Main Authors: Wang, Liguo (Author), Zhao, Chunhui (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Subjects:
Signal processing.
Computer vision.
Geographic information systems.
Signal, Speech and Image Processing.
Computer Vision.
Geographical Information System.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XVII, 315 p. 121 illus., 15 illus. in color. online resource.
ISBN:9783662474563
DOI:10.1007/978-3-662-47456-3

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