Overview
- Presents current state-of-the-art algorithms
- Addresses key challenges for an effective exploitation
- Written by key scientists in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Augmented Vision and Reality (Augment Vis Real, volume 3)
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Table of contents (15 chapters)
Keywords
About this book
Reviews
From the reviews:
“This book is composed of contributions that address many of the contemporary problems faced when processing hyperspectral image data. As expected, there are chapters focussed on thematic mapping and classification, spectral un-mixing, morphology and compression … . important to anyone interested in the state of kernel based methods in image analysis. … It is very well written, makes very good use of examples and will be an important reference work for those working on un-mixing problems.” (John Richards, IEEE Geoscience and Remote Sensing Society Newsletter, June, 2011)
“This excellent reference focuses on advances in signal processing and exploitation techniques for optical remote sensing with a collection of state-of-the art algorithms for hyperspectral and multispectral imaging technologies. It is intended for advanced users, particularly graduate students and image scientists specializing in the field of optical remote sensing. … This cutting-edge publication includes a collection of images and graphics, processing technologies and parallel implementations with up-to-date references at the end of each chapter.” (Axel Mainzer Koenig, Optics & Photonics News, July, 2012)
Editors and Affiliations
Bibliographic Information
Book Title: Optical Remote Sensing
Book Subtitle: Advances in Signal Processing and Exploitation Techniques
Editors: Saurabh Prasad, Lori M. Bruce, Jocelyn Chanussot
Series Title: Augmented Vision and Reality
DOI: https://doi.org/10.1007/978-3-642-14212-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-14211-6Published: 23 March 2011
Softcover ISBN: 978-3-642-26747-5Published: 23 April 2013
eBook ISBN: 978-3-642-14212-3Published: 23 March 2011
Series ISSN: 2190-5916
Series E-ISSN: 2190-5924
Edition Number: 1
Number of Pages: VIII, 344
Topics: Signal, Image and Speech Processing, Pattern Recognition, Microwaves, RF and Optical Engineering