Low complexity dimensionality reduction for hyperspectral images.
Seda SenayHector ErivesPublished in: ACSSC (2014)
Keyphrases
- low complexity
- hyperspectral images
- dimensionality reduction
- hyperspectral
- hyperspectral imagery
- high dimensional data
- principal component analysis
- hyperspectral data
- high dimensional
- low dimensional
- high dimensionality
- computational complexity
- remote sensing
- pattern recognition
- multispectral
- motion estimation
- feature extraction
- feature space
- random projections
- feature selection
- data points
- distributed video coding
- dimension reduction
- principal components
- infrared
- multispectral images
- lower complexity
- target detection
- sparse representation
- machine learning
- subband
- data streams
- image processing