Deep Fully Convolutional Embedding Networks for Hyperspectral Images Dimensionality Reduction.
Na LiDeyun ZhouJiao ShiMingyang ZhangTao WuMaoguo GongPublished in: Remote. Sens. (2021)
Keyphrases
- hyperspectral images
- dimensionality reduction
- nonlinear dimensionality reduction
- hyperspectral
- structure preserving
- deep learning
- graph embedding
- remote sensing
- hyperspectral data
- hyperspectral imagery
- feature extraction
- high dimensional data
- low dimensional
- multispectral
- embedding space
- principal component analysis
- principal components
- spectral bands
- manifold learning
- high dimensional
- image data
- data points
- dimensionality reduction methods
- neural network
- change detection
- multispectral images
- high dimensionality
- linear discriminant analysis