Machine Learning for the Detection of Oil Spills in Satellite Radar Images
- Miroslav Kubat, School of Information Technology and Engineering, University of Ottawa
- Robert Holte, Department of Computing Science, University of Alberta
- Stan Matwin, School of Information Technology and Engineering, University of Ottawa
we encountered several essential questions that we believe deserve the attention of the research community. We use our particular case study to illustrate such issues as problem formulation, selection of evaluation measures, and data preparation. We relate these issues to properties of the oil spill application, such as its imbalanced class distribution, that are shown to be common to many applications. Our solutions to these issues are implemented in the Canadian Environmental Hazards Detection System (CEHDS), which is about to undergo field testing.
Citation
M. Kubat, R. Holte, S. Matwin. "Machine Learning for the Detection of Oil Spills in Satellite Radar Images". Machine Learning Journal (MLJ), 30(2-3), pp 195-216, January 1998.| Keywords: | detection, oil spills, machine learning |
| Category: | In Journal |
BibTeX
@article{Kubat+al:MLJ98,
author = {Miroslav Kubat and Robert Holte and Stan Matwin},
title = {Machine Learning for the Detection of Oil Spills in Satellite Radar
Images},
Volume = "30",
Number = "2-3",
Pages = {195-216},
journal = {Machine Learning Journal (MLJ)},
year = 1998,
}Last Updated: June 04, 2007Submitted by Staurt H. Johnson
