Hyperspectral Image Classification by Bootstrap AdaBoost With Random Decision Stumps
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[1] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[2] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[3] Lorenzo Bruzzone,et al. Kernel-based methods for hyperspectral image classification , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[4] Lorenzo Bruzzone,et al. Classification of hyperspectral remote sensing images with support vector machines , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[5] Trevor Hastie,et al. Additive Logistic Regression : a Statistical , 1998 .
[6] Chein-I. Chang. Hyperspectral Imaging: Techniques for Spectral Detection and Classification , 2003 .
[7] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[8] Sebastiano B. Serpico,et al. Introduction to the special issue on analysis of hyperspectral image data , 2001, IEEE Trans. Geosci. Remote. Sens..
[9] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[10] R. Tibshirani,et al. Flexible Discriminant Analysis by Optimal Scoring , 1994 .
[11] Shinto Eguchi,et al. Supervised image classification by contextual AdaBoost based on posteriors in neighborhoods , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[12] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[13] Robert Tibshirani,et al. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition , 2001, Springer Series in Statistics.