Investigation of the random forest framework for classification of hyperspectral data.
Jisoo HamYangchi ChenMelba M. CrawfordJoydeep GhoshPublished in: IEEE Trans. Geosci. Remote. Sens. (2005)
Keyphrases
- supervised learning
- random forest
- unsupervised learning
- machine learning
- training set
- training samples
- hyperspectral data
- decision trees
- feature set
- hyperspectral
- infrared
- ensemble methods
- hyperspectral imagery
- text classification
- support vector machine svm
- benchmark datasets
- sample size
- base classifiers
- hyperspectral images
- classification accuracy