Wrapper Based Principal Component Selection For Hyperspectral Image Classification.
Arvind Kumar SinghRenuvenkataswamy SunkaraGovind R. KadambiPublished in: WHISPERS (2022)
Keyphrases
- principal components
- hyperspectral image classification
- principal component analysis
- hyperspectral data
- kernel space
- multivariate data
- dimensionality reduction
- hyperspectral images
- hyperplane
- hyperspectral
- feature selection
- active learning
- principal component regression
- image registration
- neural network
- remote sensing
- high quality