Authors:
- 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
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
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Harbin Engineering University, Harbin, China
Liguo Wang, Chunhui Zhao
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