Oil spill detection and characterization from satellite image using artificial neural network algorithm
This paper describes the use of artificial neural network to identify and characterize oil spill acquired from satellite imagery. The objective of the algorithm is to classify every pixel of the image whether it is sea water or oil based on its intensity. In order to test the algorithm, several orde...
| Main Authors: | Ridha, S., Wardaya, P.D. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31775 / |
| Published: |
Society of Petroleum Engineers
2014
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926174076&doi=10.2118%2f170406-ms&partnerID=40&md5=9fb6b8cc6d20554660e885be498d21e2 http://eprints.utp.edu.my/31775/ |
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