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Connectionist Models for the Detection of Oil Spills from Doppler Radar Imagery
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- Ziemke, Tom (author)
- Högskolan i Skövde,Institutionen för datavetenskap,The Connectionist Research Group
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- Athley, Fredrik (author)
- Ground Systems Division, Ericsson Radar Electronics AB, Mölndal, Sweden
- (creator_code:org_t)
- Skövde : University of Skövde, 1995
- English 16 s.
- Series: IDA Technical Reports ; HS-IDA-TR-95-002
- Reports (other academic/artistic)
Abstract
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Keyword
- Computer and systems science
- Data- och systemvetenskap
Publication and Content Type
- vet (subject category)
- rap (subject category)
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