Morphological Attribute Profile Cube and Deep Random Forest for Small Sample Classification of Hyperspectral Image.
Bing LiuWenyue GuoXin ChenKuiliang GaoXibing ZuoRuirui WangAnzhu YuPublished in: IEEE Access (2020)
Keyphrases
- small sample
- random forest
- hyperspectral images
- decision trees
- feature set
- sample size
- feature selection
- support vector machine
- high dimensional
- machine learning
- classification accuracy
- pattern recognition
- feature selection algorithms
- feature extraction
- ensemble methods
- high dimensionality
- feature space
- text categorization
- remote sensing
- hyperspectral
- support vector machine svm
- image classification
- support vector
- text classification
- ls svm
- image processing
- supervised learning