Dimension Reduction Aided Hyperspectral Image Classification with a Small-sized Training Dataset: Experimental Comparisons.
Jinya SuDewei YiCunjia LiuLei GuoWen-Hua ChenPublished in: Sensors (2017)
Keyphrases
- dimension reduction
- training dataset
- small sized
- hyperspectral image classification
- active learning
- hyperspectral
- hyperspectral images
- hyperspectral data
- random projections
- training set
- principal component analysis
- training data
- high dimensional
- low dimensional
- feature extraction
- training samples
- data samples
- high dimensional data
- feature space
- singular value decomposition
- discriminative information
- high dimensionality
- linear discriminant analysis
- dimensionality reduction
- feature selection
- class labels
- remote sensing
- cluster analysis
- unsupervised learning
- learning algorithm
- data sets
- labeled data
- text classification