Hyper Spectral Image Classification Using Spectral and Spatial Dimension Reduction.
R. Aruna FlarenceB. RupaAtul NegiPublished in: WHISPERS (2023)
Keyphrases
- dimension reduction
- hyperspectral
- image classification
- feature extraction
- spatial frequency
- remote sensing data
- hyperspectral images
- remote sensing
- hyperspectral data
- hyperspectral imagery
- multispectral
- infrared
- random projections
- spectral data
- partial least squares
- principal component analysis
- spectral bands
- image data
- high dimensional
- spectral resolution
- high dimensional data
- image representation
- feature selection
- linear discriminant analysis
- manifold learning
- dimensionality reduction
- singular value decomposition
- remote sensing images
- unsupervised learning
- low dimensional
- information content
- satellite images
- principle component analysis
- feature vectors
- feature space
- high dimensionality
- sparse coding
- image features
- cluster analysis
- preprocessing