Dimensionality Reduction of Hyperspectral Images: A Data-Driven Approach for Band Selection.
Arati PaulPutul SahooNabendu ChakiPublished in: ACSS (2) (2020)
Keyphrases
- hyperspectral images
- band selection
- dimensionality reduction
- hyperspectral
- hyperspectral imagery
- hyperspectral remote sensing images
- hyperspectral data
- hyperspectral remote sensing
- spectral bands
- random projections
- remote sensing
- high dimensional
- principal component analysis
- low dimensional
- high dimensionality
- high dimensional data
- multispectral
- feature extraction
- feature space
- pattern recognition
- linear discriminant analysis
- data points
- target detection
- sparse representation
- principal components
- hyperspectral imaging
- feature selection
- infrared
- multispectral images
- pixel classification
- dimension reduction
- bayesian classifier
- image data
- computer vision