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Oil Spill Detection :
Oil Spill Detection : A Case Study of Recurrent Artificial Neural Networks
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- Ziemke, Tom (author)
- Högskolan i Skövde,Institutionen för datavetenskap
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- Bodén, Mikael (author)
- Högskolan i Skövde,Institutionen för datavetenskap
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- Niklasson, Lars (author)
- Högskolan i Skövde,Institutionen för datavetenskap
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(creator_code:org_t)
- Skövde : University of Skövde, 1997
- English.
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Series: IDA Technical Reports ; HS-IDA-TR-97-001
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
Close
- This paper summarizes and analyzes the results of a case study of artificial neural networks for the detection of oil spills from radar imagery, which has been carried as a joint project between the Connectionist Research Group, University of Skövde, and Ericsson Microwave Systems AB, Mölndal, Sweden.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Keyword
- artificial neural networks
- oil spill detection
- recurrent networks
- Computer and systems science
- Data- och systemvetenskap
Publication and Content Type
- vet (subject category)
- rap (subject category)
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