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Computational Intelligence for Remote Sensing

  • Book
  • © 2008

Overview

Editors:
  1. Manuel Graña
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    You can also search for this editor in PubMed   Google Scholar

  2. Richard J. Duro
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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent results in computational intelligence applications in remote sensing
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 133)

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Table of contents (15 chapters)

  1. Front Matter

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  2. Optical Configurations for Imaging Spectrometers

    • X. Prieto-Blanco, C. Montero-Orille, B. Couce, R. de la Fuente
    Pages 1-25

  3. Remote Sensing Data Compression

    • Joan Serra-Sagristà, Francesc Aulí-Llinàs
    Pages 27-61

  4. A Multiobjective Evolutionary Algorithm for Hyperspectral Image Watermarking

    • D. Sal, M. Graña
    Pages 63-78

  5. Architecture and Services for Computational Intelligence in Remote Sensing

    • Sergio D’Elia, Pier Giorgio Marchetti, Yves Coene, Steven Smolders, Andrea Colapicchioni, Claudio Rosati
    Pages 79-123

  6. On Content-Based Image Retrieval Systems for Hyperspectral Remote Sensing Images

    • Miguel A. Veganzones, José Orlando Maldonado, Manuel Graña
    Pages 125-144

  7. An Analytical Approach to the Optimal Deployment of Wireless Sensor Networks

    • J. Vales-Alonso, S. Costas-Rodríguez, M. V. Bueno-Delgado, E. Egea-López, F. Gil-Castiñeira, P. S. Rodríguez-Hernández et al.
    Pages 145-161

  8. Parallel Spatial-Spectral Processing of Hyperspectral Images

    • Antonio J. Plaza
    Pages 163-192

  9. Parallel Classification of Hyperspectral Images Using Neural Networks

    • Javier Plaza, Antonio Plaza, Rosa Pérez, Pablo Martínez
    Pages 193-216

  10. Positioning Weather Systems from Remote Sensing Data Using Genetic Algorithms

    • Wong Ka Yan, Yip Chi Lap
    Pages 217-243

  11. A Computation Reduced Technique to Primitive Feature Extraction for Image Information Mining Via the Use of Wavelets

    • Vijay P. Shah, Nicolas H. Younan, Surya H. Durbha, Roger L. King
    Pages 245-266

  12. Neural Networks for Land Cover Applications

    • Fabio Pacifici, Fabio Del Frate, Chiara Solimini, William J. Emery
    Pages 267-293

  13. Information Extraction for Forest Fires Management

    • Andrea Pelizzari, Ricardo Armas Goncalves, Mario Caetano
    Pages 295-312

  14. Automatic Preprocessing and Classification System for High Resolution Ultra and Hyperspectral Images

    • Abraham Prieto, Francisco Bellas, Fernando Lopez-Pena, Richard J. Duro
    Pages 313-340

  15. Using Gaussian Synapse ANNs for Hyperspectral Image Segmentation and Endmember Extraction

    • R. J. Duro, F. Lopez-Pena, J. L. Crespo
    Pages 341-362

  16. Unsupervised Change Detection from Multichannel SAR Data by Markov Random Fields

    • Sebastiano B. Serpico, Gabriele Moser
    Pages 363-388

  17. Back Matter

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Keywords

About this book

This book is a composition of different points of view regarding the application of Computational Intelligence techniques and methods to Remote Sensing data and applications. It is the general consensus that classification, its related data processing, and global optimization methods are core topics of Computational Intelligence. Much of the content of the book is devoted to image segmentation and recognition, using diverse tools from different areas of the Computational Intelligence field, ranging from Artificial Neural Networks to Markov Random Field modeling. The book covers a broad range of topics, starting from the hardware design of hyperspectral sensors, and data handling problems, namely data compression and watermarking issues, as well as autonomous web services. The main contents of the book are devoted to image analysis and efficient (parallel) implementations of these analysis techniques. The classes of images dealt with throughout the book are mostly multispectral-hyperspectral images, though there are some instances of processing Synthetic Aperture Radar images.

Bibliographic Information

  • Book Title: Computational Intelligence for Remote Sensing

  • Editors: Manuel Graña, Richard J. Duro

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-79353-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2008

  • Hardcover ISBN: 978-3-540-79352-6Published: 05 June 2008

  • Softcover ISBN: 978-3-642-09823-9Published: 19 November 2010

  • eBook ISBN: 978-3-540-79353-3Published: 08 September 2008

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: X, 393

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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