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Chapter 8. One-Class SVMs for Hyperspectral Anomaly Detection

  1. Dr Gustavo Camps-Valls B.Sc., Ph.D. professor member2,
  2. Dr Lorenzo Bruzzone M.S., Ph.D. Postdoctoral Researcher Professor member Chair3
  1. Amit Banerjee,
  2. Philippe Burlina,
  3. Chris Diehl

Published Online: 4 NOV 2009

DOI: 10.1002/9780470748992.ch8

Book Title

Kernel Methods for Remote Sensing Data Analysis

Kernel Methods for Remote Sensing Data Analysis

Additional Information

How to Cite

Banerjee, A., Burlina, P. and Diehl, C. (2009) One-Class SVMs for Hyperspectral Anomaly Detection, in Kernel Methods for Remote Sensing Data Analysis (eds G. Camps-Valls and L. Bruzzone), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470748992.ch8

Editor Information

  1. 2

    Image Processing Laboratory (IPL) & Dept. Enginyeria Electrónica, Universitat de Valéncia, Spain

  2. 3

    Dept. Information Engineering and Computer Science, University of Trento, Italy

Author Information

  1. Applied Physics Laboratory, The Johns Hopkins University, USA

Publication History

  1. Published Online: 4 NOV 2009
  2. Published Print: 23 OCT 2009

ISBN Information

Print ISBN: 9780470722114

Online ISBN: 9780470748992

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