Hyperspectral Image Classification via Slice Sparse Coding Tensor Based Classifier With Compressive Dimensionality Reduction.
Lixia YangRui ZhangShuyuan YangLicheng JiaoPublished in: IEEE Access (2020)
Keyphrases
- sparse coding
- dimensionality reduction
- sparse representation
- subspace learning
- feature space
- hyperspectral image classification
- dictionary learning
- unsupervised learning
- compressive sensing
- random projections
- feature selection
- high dimensional
- active learning
- high dimensional data
- natural images
- high dimensionality
- image classification
- hyperspectral images
- hyperspectral
- low dimensional
- principal component analysis
- linear combination
- feature extraction
- training data
- image representation
- data points
- feature set
- generative model
- singular value decomposition
- decision trees
- principal components
- image patches
- support vector machine
- pattern recognition
- face recognition
- dimension reduction
- data mining
- multispectral
- svm classifier
- kernel function
- training set
- data sets
- image reconstruction
- remote sensing
- text classification
- nearest neighbor
- small number
- feature vectors
- linear classifiers
- support vector
- multiscale
- high quality
- machine learning