Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral Image.
Rosa Maria CavalliGiorgio A. LicciardiJocelyn ChanussotPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2013)
Keyphrases
- principal component analysis
- hyperspectral
- hyperspectral images
- anomaly detection
- target detection
- remote sensing
- hyperspectral data
- hyperspectral imagery
- false alarms
- infrared
- face recognition
- detection rate
- hyperspectral image classification
- hyperspectral imaging
- lidar data
- independent component analysis
- linear discriminant analysis
- low dimensional
- high resolution
- feature vectors