Random forest classifiers for hyperspectral data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2005, Pages 160-163

  Joelsson, Sveinn R ^a   Benediktsson, Jon Atli ^a   Sveinsson, Johannes R ^a  

^a UNIVERSITY OF ICELAND   (Iceland)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; HIERARCHICAL SYSTEMS; REGRESSION ANALYSIS; TREES (MATHEMATICS);

CLASSIFICATION AND REGRESSION TREE (CART); FOREST CLASSIFIERS; HYPERSPECTRAL DATA;

CLASSIFICATION (OF INFORMATION);

CLASSIFICATION; FORESTRY; MATHEMATICAL MODELS; REGRESSION ANALYSIS;

EID: 33745699905     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2005.1526129     Document Type: Conference Paper

References (8)

1. L. Breiman, "Bagging Predictors," MACHINE LEARNING, vol. 24, no. 2, pp. 123-140, 1996.
2. Y. Freund and R.E. Schapire: "Experiments with a New Boosting Algorithm", Machine Learning: Proceedings of the Thirteenth International Conference, 1996.
3. R.O. Duda, P.E. Hart and D.G. Stork, Pattern Classification, Second Edition, John-Wiley and Sons, Inc., New York, 2001.
4. S. Kumar, J. Ghosh and M. M. Crawford, "Hierarchical Fusion of Multible Classifiers for Hyperspectral Data Analysis," Pattern Analysis & Applications, (2002)5:210-220
5. http://stat-www.berkeley.edu/users/breiman/RandomForests/cc.software.htm
6. L. Breiman, Random Forests, MACHINE LEARNING, vol. 45, No. 1, pp. 5-32, Oct. 2001
7. J. Ham, Yangchi Chen, M.M. Crawford and J. Ghosh, "Investigation of the random forest framework for classification of hyperspectral data," IEEE Transactions on Geoscience and Remote Sensing, vol. 43, No. 3, pp. 492 -501, March 2005.
8. D.A. Landgrebe, Signal Theory Methods in Multispectral Remote Sensing, John Wiley and Sons, Hoboken, New Jersey, 2003.