Kernel Sparse Representation for Anomaly Detection in Hyperspectral Imagery.
Jie XiongQiang LingZaiping LinJing WuPublished in: ICAIP (2018)
Keyphrases
- anomaly detection
- sparse representation
- hyperspectral imagery
- multispectral
- sparse coding
- high dimensional feature space
- remote sensing
- hyperspectral
- hyperspectral images
- kernel function
- spatial resolution
- target detection
- image classification
- dimensionality reduction
- feature space
- signal processing
- high dimensional data
- face recognition
- support vector
- infrared
- random projections
- object tracking
- input space
- detect anomalies
- image representation
- unsupervised learning
- high dimensional
- kernel methods
- change detection
- image data
- multiscale
- reproducing kernel hilbert space
- image segmentation
- data mining
- neural network