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Optical Remote Sensing

Advances in Signal Processing and Exploitation Techniques

  • Book
  • © 2011

Overview

Editors:
  1. Saurabh Prasad

    1. Geosystems Research Inst., Dept. Electrical & Computer Engineering, Mississippi State University, Mississippi State, USA

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  2. Lori M. Bruce

    1. Geosystems Research Inst., Dept. Electrical & Computer Engineering, Mississippi State University, Mississippi State, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Jocelyn Chanussot

    1. Institut Polytechnique de Grenoble, Grenoble CX 1, France

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    You can also search for this editor in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-viii
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  2. Introduction

    • Saurabh Prasad, Lori M. Bruce, Jocelyn Chanussot
    Pages 1-8

  3. Hyperspectral Data Compression Tradeoff

    • Emmanuel Christophe
    Pages 9-29

  4. Reconstructions from Compressive Random Projections of Hyperspectral Imagery

    • James E. Fowler, Qian Du
    Pages 31-48

  5. Integrated Sensing and Processing for Hyperspectral Imagery

    • Robert Muise, Abhijit Mahalanobis
    Pages 49-64

  6. Color Science and Engineering for the Display of Remote Sensing Images

    • Maya R. Gupta, Nasiha Hrustemovic
    Pages 65-79

  7. An Evaluation of Visualization Techniques for Remotely Sensed Hyperspectral Imagery

    • Shangshu Cai, Robert Moorhead, Qian Du
    Pages 81-98

  8. A Divide-and-Conquer Paradigm for Hyperspectral Classification and Target Recognition

    • Saurabh Prasad, Lori M. Bruce
    Pages 99-122

  9. The Evolution of the Morphological Profile: from Panchromatic to Hyperspectral Images

    • Mauro Dalla Mura, Jon Atli Benediktsson, Jocelyn Chanussot, Lorenzo Bruzzone
    Pages 123-146

  10. Decision Fusion of Multiple Classifiers for Vegetation Mapping and Monitoring Applications by Means of Hyperspectral Data

    • Karoly Livius Bakos, Prashanth Reddy Marpu, Paolo Gamba
    Pages 147-170

  11. A Review of Kernel Methods in Remote Sensing Data Analysis

    • Luis Gómez-Chova, Jordi Muñoz-Marí, Valero Laparra, Jesús Malo-López, Gustavo Camps-Valls
    Pages 171-206

  12. Exploring Nonlinear Manifold Learning for Classification of Hyperspectral Data

    • Melba M. Crawford, Li Ma, Wonkook Kim
    Pages 207-234

  13. Recent Developments in Endmember Extraction and Spectral Unmixing

    • Antonio Plaza, Gabriel Martín, Javier Plaza, Maciel Zortea, Sergio Sánchez
    Pages 235-267

  14. Change Detection in VHR Multispectral Images: Estimation and Reduction of Registration Noise Effects

    • Lorenzo Bruzzone, Silvia Marchesi, Francesca Bovolo
    Pages 269-299

  15. Effects of the Spatial Enhancement of Hyperspectral Images on the Distribution of Spectral Classes

    • Andrea Garzelli, Luca Capobianco
    Pages 301-327

  16. Fusion of Optical and SAR Data for Seismic Vulnerability Mapping of Buildings

    • Diego Polli, Fabio Dell’Acqua
    Pages 329-341
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Keywords

About this book

Optical remote sensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remote sensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data. Challenges in pre-processing images, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.

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

  • Geosystems Research Inst., Dept. Electrical & Computer Engineering, Mississippi State University, Mississippi State, USA

    Saurabh Prasad, Lori M. Bruce

  • Institut Polytechnique de Grenoble, Grenoble CX 1, France

    Jocelyn Chanussot

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

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