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Issue No.06 - November/December (2007 vol.22)
pp: 100-106
Tomasz Stepinski , Lunar and Planetary Institute
Ricardo Vilalta , University of Houston
Soumya Ghosh , University of Colorado
ABSTRACT
The Mars planetary missions have produced vast stores of science data. The authors describe machine-learning methods and tools they've used to automate geomorphic mapping of Mars from archived data.
INDEX TERMS
machine learning, Mars
CITATION
Tomasz Stepinski, Ricardo Vilalta, Soumya Ghosh, "Machine Learning Tools for Automatic Mapping of Martian Landforms", IEEE Intelligent Systems, vol.22, no. 6, pp. 100-106, November/December 2007, doi:10.1109/MIS.2007.114
REFERENCES
1. D. Landgrebe, "Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data," Information Processing for Remote Sensing, C.H. Chen, ed., World Scientific Publishing, 1999.
2. T.F. Stepinski and R. Vilalta, "Digital Topography Models for Martian Surfaces," IEEE Geoscience and Remote Sensing Letters, vol. 2, no. 3, 2005, pp. 260–264.
3. B.D. Bue and T.F. Stepinski, "Automated Classification of Landforms on Mars," Computers &Geoscience, vol. 32, no. 5, 2006, pp. 604–614.
4. T.F. Stepinski, S. Ghosh, and R. Vilalta, "Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification," Proc. Int'l Conf. Discovery Science, LNAI 4265, Springer, 2006, pp. 255–266.
5. T.F. Stepinski, S. Ghosh, and R. Vilalta, "Machine Learning for Automatic Mapping of Planetary Surfaces," Proc. 19th Innovative Applications of Artificial Intelligence Conf., AAAI Press, 2007, pp. 7–18.
6. R.P. Irwin and A.D. Howard, "Drainage Basin Evolution in Noachian Terra Cimmeria, Mars," J. Geophysical Research, vol. 107 E7, 2002, pp. 10-1–10-23.
7. M. Baatz and A. Schäpe, "Multiresolution Segmentation: An Optimization Approach for High Quality Multi-Scale Image Segmentation," Angewandte Geographische Informationsverarbeitung XII [Applied Geographical Data Processing], Wichmann, 2000, pp. 12–23.
8. T.K. Remmel and F. Csillag, "Mutual Information Spectra for Comparing Categorical Maps," Int'l J. Remote Sensing, vol. 27, no. 7, 2006, pp. 1425–1452.
9. R. Cilibrasi and M.P. Vitanyi, "Clustering by Compression," IEEE Trans. Information Theory, vol. 51, no. 4, 2005, pp. 1523–1545.
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