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Augmented Vision and Reality

Optical Remote Sensing

Advances in Signal Processing and Exploitation Techniques

Editors: Prasad, Saurabh, Bruce, Lori M., Chanussot, Jocelyn (Eds.)

  • Presents current state-of-the-art algorithms
  • Addresses key challenges for an effective exploitation
  • Written by key scientists in the field
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valid through October 16, 2017
  • ISBN 978-3-642-14212-3
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Hardcover $229.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-14211-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-3-642-26747-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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About this book

Optical remote sensing involves acquisition and analysis of optical data – electromagnetic radiation captured by the sensing modality after reflecting off an area of interest on ground.  Optical image acquisition modalities have come a long way – from gray-scale photogrammetric images to hyperspectral images. The advances in imaging hardware over recent decades have enabled availability of high spatial, spectral and temporal resolution imagery to the remote sensing analyst. These advances have created unique challenges for researchers in the remote sensing community working on algorithms for representation, exploitation and analysis of such data.

Early optical remote sensing systems relied on multispectral sensors, which are characterized by a small number of wide spectral bands. Although multispectral sensors are still employed by analysts, in recent years, the remote sensing community has seen a steady shift to hyperspectral sensors, which are characterized by hundreds of fine resolution co-registered spectral bands, as the dominant optical sensing technology. Such data has the potential to reveal the underlying phenomenology as described by spectral characteristics accurately. This “extension” from multispectral to hyperspectral imaging does not imply that the signal processing and exploitation techniques can be simply scaled up to accommodate the extra dimensions in the data. This book presents state-of-the-art signal processing and exploitation algorithms that address three key challenges within the context of modern optical remote sensing: (1) Representation and visualization of high dimensional data for efficient and reliable transmission, storage and interpretation; (2) Statistical pattern classification for robust land-cover-classification, target recognition and pixel unmixing; (3) Fusion of multi-sensor data to effectively exploit multiple sources of information for analysis.

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)


Table of contents (15 chapters)

  • Introduction

    Prasad, Saurabh (et al.)

    Pages 1-8

  • Hyperspectral Data Compression Tradeoff

    Christophe, Emmanuel

    Pages 9-29

  • Reconstructions from Compressive Random Projections of Hyperspectral Imagery

    Fowler, James E. (et al.)

    Pages 31-48

  • Integrated Sensing and Processing for Hyperspectral Imagery

    Muise, Robert (et al.)

    Pages 49-64

  • Color Science and Engineering for the Display of Remote Sensing Images

    Gupta, Maya R. (et al.)

    Pages 65-79

Buy this book

eBook $179.00
price for USA (gross)
valid through October 16, 2017
  • ISBN 978-3-642-14212-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
valid through October 16, 2017
  • ISBN 978-3-642-14211-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-3-642-26747-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

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
Series Volume
3
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-14212-3
DOI
10.1007/978-3-642-14212-3
Hardcover ISBN
978-3-642-14211-6
Softcover ISBN
978-3-642-26747-5
Series ISSN
2190-5916
Edition Number
1
Number of Pages
VIII, 344
Topics