Feature-independent classification of hyperspectral images by projection-based random forests.
Ronny HänschOlaf HellwichPublished in: WHISPERS (2015)
Keyphrases
- hyperspectral images
- random forests
- hyperspectral data
- decision trees
- machine learning algorithms
- random forest
- tree ensembles
- hyperspectral
- feature vectors
- hyperspectral imagery
- feature set
- regression forests
- classification accuracy
- ensemble methods
- logistic regression
- remote sensing
- feature space
- multispectral
- feature selection
- pattern recognition
- image features
- support vector
- support vector machine svm
- feature subset
- class labels
- machine learning methods
- machine learning
- randomized trees
- markov random field
- pairwise
- feature extraction
- neural network
- prediction accuracy
- text classification
- support vector machine
- object recognition
- training data
- image processing
- learning algorithm