Overview
- Systematically provides a complete framework of the novel processing techniques of hyperspectral imaging
- Introduces from the basic theory to the state of the art techniques and their applications to meet the needs of readers at different levels
- Aims at the two hot topics in HSI processing, i.e. high accuracy and real time
- Includes supplementary material: sn.pub/extras
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Hyperspectral Image Processing
Authors: Liguo Wang, Chunhui Zhao
DOI: https://doi.org/10.1007/978-3-662-47456-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016
Hardcover ISBN: 978-3-662-47455-6Published: 30 July 2015
Softcover ISBN: 978-3-662-51614-0Published: 18 October 2016
eBook ISBN: 978-3-662-47456-3Published: 15 July 2015
Edition Number: 1
Number of Pages: XVII, 315
Number of Illustrations: 106 b/w illustrations, 15 illustrations in colour
Additional Information: Jointly published with National Defense Industry Press, Beijing, China
Topics: Signal, Image and Speech Processing, Image Processing and Computer Vision, Remote Sensing/Photogrammetry