Dimensionality Reduction Using 3D Residual Autoencoder for Hyperspectral Image Classification.
Shivam PandeBiplab BanerjeePublished in: IGARSS (2020)
Keyphrases
- hyperspectral image classification
- dimensionality reduction
- active learning
- hyperspectral
- hyperspectral images
- high dimensional data
- high dimensional
- high dimensionality
- feature extraction
- pattern recognition
- random projections
- principal component analysis
- low dimensional
- data points
- feature space
- hyperspectral data
- linear discriminant analysis
- dimensionality reduction methods
- singular value decomposition
- image data
- principal components
- remote sensing
- learning algorithm
- input space
- multispectral
- sparse representation
- semi supervised
- feature selection
- dimension reduction
- infrared
- lower dimensional
- image processing
- data mining