Active Learning for Hyperspectral Image Classification Using Kernel Sparse Representation Classifiers.
Amos BortiewSwarnajyoti PatraLorenzo BruzzonePublished in: IEEE Geosci. Remote. Sens. Lett. (2023)
Keyphrases
- hyperspectral image classification
- sparse representation
- active learning
- dictionary learning
- regularized least squares
- hyperspectral images
- hyperspectral
- sparse coding
- signal processing
- compressive sensing
- image classification
- face recognition
- random projections
- training set
- high dimensional data
- image patches
- random sampling
- learning algorithm
- supervised learning
- image representation
- remote sensing
- dimensionality reduction
- machine learning
- image analysis
- support vector
- multispectral
- kernel methods
- learning process
- linear discriminant analysis
- data sets
- semi supervised
- feature space
- high quality
- hyperspectral data
- feature selection