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Connectionist Models for the Detection of Oil Spills from Doppler Radar Imagery
University of Skövde, School of Humanities and Informatics.
University of Skövde, School of Humanities and Informatics.
1995 (English)Report (Other academic)
Abstract [en]

This paper reports on the results of a project investigating the potential of applying artificial neural networks to the problem of detecting oil spills on basis of the radar backscatter signals from a sea clutter environment illuminated by a Doppler radar. Recurrent backpropagation models which were found to exhibit satisfactory performance, superior to that of feed-forward networks, are discussed and analysed in particular.

Abstract [en]

Annotation: In Niklasson & Boden (eds.) Current Trends in Connectionism-Proceedings of the Swedish Conference on Connectionism - 1995, pp. 355 - 370, Lawrence Erlbaum Associates.

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 1995. , 16 p.
Series
IKI Technical Reports, HS-IDA-TR-95-002
National Category
Information Science
Identifiers
URN: urn:nbn:se:his:diva-1233OAI: oai:DiVA.org:his-1233DiVA: diva2:2366
Available from: 2008-06-17 Created: 2008-06-17 Last updated: 2010-04-08

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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