A Randomized Subspace Learning Based Anomaly Detector for Hyperspectral Imagery.
Weiwei SunLong TianYan XuBo DuQian DuPublished in: Remote. Sens. (2018)
Keyphrases
- subspace learning
- hyperspectral imagery
- matched filter
- dimensionality reduction
- hyperspectral images
- hyperspectral
- multispectral
- target detection
- spatial resolution
- remote sensing
- data representation
- principal component analysis
- manifold learning
- sparse coding
- sparse representation
- face recognition
- low dimensional
- change detection
- semi supervised
- learning algorithm
- infrared
- image analysis
- high dimensional feature space
- high dimensional data
- image classification
- detection algorithm
- multi band
- frame rate
- high dimensional
- pattern recognition
- high quality
- image processing
- feature selection