Estimating Optimal Number of Compressively Sensed Bands for Hyperspectral Classification via Feature Selection.
Charles J. Della PortaChein-I ChangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- hyperspectral
- hyperspectral images
- hyperspectral data
- feature selection
- band selection
- remote sensing
- spectral bands
- hyperspectral remote sensing
- classification accuracy
- hyperspectral imagery
- multispectral
- pixel classification
- support vector
- feature space
- land cover classification
- infrared
- feature extraction
- hyperspectral image classification
- feature subset
- satellite images
- neural network
- hyperspectral remote sensing images
- random projections
- target detection
- image classification
- image data
- dimension reduction
- support vector machine
- image analysis
- high dimensional
- high quality
- decision trees
- machine learning