Machine Learning for the Detection of Oil Spills in Satellite Radar Images

作者: Miroslav Kubat , Robert C. Holte , Stan Matwin

DOI: 10.1023/A:1007452223027

关键词: Minority classOil spillResearch communityRadar imagingArtificial intelligenceData preparationField (computer science)Class (computer programming)Computer scienceSatellite radarMachine learning

摘要: … The oil slick is the prominent elongated dark region in the upper right of the picture. The dark regions … the reflectance of the radar, hence the affected area looks darker in a radar image). …

参考文章(54)
Stan Matwin, Miroslav Kubat, Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. international conference on machine learning. pp. 179- 186 ,(1997)
Robert C. Holte, Bruce W. Porter, Liane E. Acker, Concept learning and the problem of small disjuncts international joint conference on artificial intelligence. pp. 813- 818 ,(1989)
K Kirschfeld, G Hauske, Editorial (In honour of Prof. Bernhard Hassenstein's 75th birthday) Biological Cybernetics. ,vol. 79, pp. 443- 444 ,(1998)
Jianping Zhang, Selecting typical instances in instance-based learning international conference on machine learning. pp. 470- 479 ,(1992) , 10.1016/B978-1-55860-247-2.50066-8
Steven L. Salzberg, Alberto Segre, Programs for Machine Learning ,(1994)
Jason Catlett, Mega induction: a Test Flight Machine Learning Proceedings 1991. pp. 596- 599 ,(1991) , 10.1016/B978-1-55860-200-7.50121-5
David D. Lewis, Jason Catlett, Heterogeneous Uncertainty Sampling for Supervised Learning Machine Learning Proceedings 1994. pp. 148- 156 ,(1994) , 10.1016/B978-1-55860-335-6.50026-X
W. Edwards, D. Von Winterfeldt, Decision analysis and behavioral research Cambridge, MA (USA) Cambridge Univ. Press. ,(1986)