Principal Component Reconstruction Error for Hyperspectral Anomaly Detection.
James A. JablonskiTrevor J. BihlKenneth W. Bauer Jr.Published in: IEEE Geosci. Remote. Sens. Lett. (2015)
Keyphrases
- anomaly detection
- hyperspectral
- reconstruction error
- principal components
- principal component analysis
- singular value decomposition
- remote sensing
- sparse representation
- multispectral
- infrared
- dimensionality reduction
- image data
- spatial resolution
- sparse coding
- objective function
- information content
- subband
- unsupervised learning
- satellite images
- superpixels
- neural network
- image processing
- machine learning
- feature extraction
- dimension reduction
- covariance matrix
- feature space
- multiresolution
- high resolution
- feature set