Hyperspectral image classification using multiple features and nearest regularized subspace.
Bing PengXiaoming XieWei LiQian DuPublished in: WHISPERS (2015)
Keyphrases
- multiple features
- hyperspectral image classification
- feature space
- hyperspectral
- hyperspectral images
- active learning
- data fusion
- principal component analysis
- low dimensional
- feature set
- feature vectors
- data points
- nearest neighbor
- dimensionality reduction
- image retrieval
- high dimensional
- hyperspectral data
- combining multiple
- relevance feedback
- multiple instance learning
- metric learning
- feature extraction
- feature selection
- incremental learning
- low level features
- principal components
- multispectral
- remote sensing
- euclidean distance
- high dimensional data
- supervised learning
- support vector machine
- hyperspectral imagery
- training set
- kernel methods
- class labels
- image representation
- image classification
- low level
- learning algorithm