A sparse Gaussian sigmoid basis function approximation of hyperspectral data for detection of solids.
Cory LankerMilton O. SmithPublished in: Stat. Anal. Data Min. (2019)
Keyphrases
- function approximation
- hyperspectral data
- random projections
- reinforcement learning
- hyperspectral
- hyperspectral imagery
- target detection
- radial basis function
- learning tasks
- hyperspectral images
- multispectral
- false alarms
- remote sensing
- learning algorithm
- data compression
- infrared
- computer vision
- change detection
- sparse representation
- high dimensional