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Connectionist Models for the Detection of Oil Spills from Doppler Radar Imagery
University of Skövde, Department of Computer Science. (The Connectionist Research Group)ORCID iD: 0000-0001-6883-2450
Ground Systems Division, Ericsson Radar Electronics AB, Mölndal, Sweden.
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.

Place, publisher, year, edition, pages
Skövde: University of Skövde , 1995. , p. 16
Series
IDA Technical Reports ; HS-IDA-TR-95-002
National Category
Information Systems
Identifiers
URN: urn:nbn:se:his:diva-1233OAI: oai:DiVA.org:his-1233DiVA, id: diva2:2366
Note

HS-IDA-TR-95-002

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

Available from: 2008-06-17 Created: 2008-06-17 Last updated: 2021-05-21Bibliographically approved

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Ziemke, Tom

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