Using Band Subset Selection For Dimensionality Reduction In Superpixel Segmentation Of Hyperspectral Imagery.
Mohammed Q. AlkhatibMiguel Velez-ReyesPublished in: ICIP (2020)
Keyphrases
- principal components
- subset selection
- hyperspectral imagery
- dimensionality reduction
- spectral bands
- hyperspectral data
- feature selection
- principal component analysis
- hyperspectral
- multispectral
- hyperspectral images
- segmentation algorithm
- spatial resolution
- high dimensional feature space
- region growing
- pixel classification
- image segmentation
- high dimensional data
- remote sensing
- multiscale
- pattern recognition
- high dimensional
- data points
- hill climbing
- superpixels
- segmentation method
- low dimensional
- image analysis
- input space
- target detection
- infrared
- feature extraction
- multiple objects
- image data
- satellite images
- change detection
- edge detection
- false alarms
- multispectral images
- kernel pca
- feature space