Superpixel-based spatial-spectral dimension reduction for hyperspectral imagery classification.
Huilin XuHongyan ZhangWei HeLiangpei ZhangPublished in: Neurocomputing (2019)
Keyphrases
- dimension reduction
- hyperspectral imagery
- hyperspectral data
- random projections
- hyperspectral images
- hyperspectral
- spectral signatures
- feature extraction
- feature selection
- feature space
- multispectral
- remote sensing
- high dimensional
- spectral bands
- high dimensional data
- high dimensionality
- spatial resolution
- principal component analysis
- low dimensional
- singular value decomposition
- unsupervised learning
- spatial frequency
- dimensionality reduction
- linear discriminant analysis
- infrared
- image analysis
- target detection
- preprocessing
- pattern recognition
- high dimensional feature space
- image processing
- data sets
- cluster analysis
- supervised learning
- multi band
- support vector
- support vector machine
- image data