Learning to Recognize Volcanoes on Venus

@article{Burl1998LearningTR,
  title={Learning to Recognize Volcanoes on Venus},
  author={Michael C. Burl and Lars Asker and Padhraic Smyth and Usama M. Fayyad and Pietro Perona and Larry Crumpler and Jayne Aubele},
  journal={Machine Learning},
  year={1998},
  volume={30},
  pages={165-194}
}
Dramatic improvements in sensor and image acquisition technology have created a demand for automated tools that can aid in the analysis of large image databases. We describe the development of JARtool, a trainable software system that learns to recognize volcanoes in a large data set of Venusian imagery. A machine learning approach is used because it is much easier for geologists to identify examples of volcanoes in the imagery than it is to specify domain knowledge as a set of pixel-level… CONTINUE READING
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