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Evolution of Ship Detectors for Satellite SAR Imagery

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Book cover Genetic Programming (EuroGP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1598))

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Abstract

A two-stage evolution scheme is proposed to obtain an objectdetector for an image analysis task, and is applied to the problem of ship detection by inspection of the SAR images taken by satellites. The scheme: (1) affords practical evolution times, (2) is structured to discover fast automatic detectors, (3) can produce small detectors that shed light into the nature of the detection. Detectors compare favorably in accuracy to those obtained using a SOM neural network.

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Author information

Authors and Affiliations

  1. Software Evolution Centre Systems & Software Engineering Centre, Defence Evaluation and Research Agency (DERA), Malvern, Worcestershire, WR14 3PS, UK

    Daniel Howard, Simon C. Roberts & Richard Brankin

Authors
  1. Daniel Howard
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  2. Simon C. Roberts
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  3. Richard Brankin
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Editor information

Editors and Affiliations

  1. School of Computer Science, University of Birmingham, Egdbaston, Birmingham, B15 2TT, UK

    Riccardo Poli

  2. Department of Physical Resource Theory, Chalmers University of Technology, S-412 96, Göteborg, Sweden

    Peter Nordin

  3. Centrum voorWiskunde en Informatic, Kruislaan 413, 1098, SJ Amsterdam, The Netherlands

    William B. Langdon

  4. Napier University, 219 Colinton Road, Edinburgh, EH14 1DJ, UK

    Terence C. Fogarty

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© 1999 Springer-Verlag Berlin Heidelberg

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Howard, D., Roberts, S.C., Brankin, R. (1999). Evolution of Ship Detectors for Satellite SAR Imagery. In: Poli, R., Nordin, P., Langdon, W.B., Fogarty, T.C. (eds) Genetic Programming. EuroGP 1999. Lecture Notes in Computer Science, vol 1598. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48885-5_11

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  • DOI: https://doi.org/10.1007/3-540-48885-5_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65899-3

  • Online ISBN: 978-3-540-48885-9

  • eBook Packages: Springer Book Archive

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