Random subspace ensemble for hyperspectral imagery classification based on dictionary learned sparse representation.
Zhaohui XuePeijun DuHongjun SuPublished in: WHISPERS (2013)
Keyphrases
- sparse representation
- dictionary learning
- image classification
- hyperspectral imagery
- sparse coding
- majority voting
- classifier ensemble
- ensemble methods
- classifier fusion
- random projections
- random forest
- multispectral
- base classifiers
- signal processing
- face recognition
- remote sensing
- feature selection
- training set
- image representation
- ensemble learning
- feature extraction
- subspace learning
- machine learning
- decision trees
- high dimensional data
- classification accuracy
- spatial resolution
- base learners
- support vector machine svm
- training samples
- support vector machine
- pattern recognition
- neural network
- image patches
- data sets
- text classification
- image data
- feature vectors
- object recognition
- subspace methods
- support vector