Binary coding based feature extraction in remote sensing high dimensional data.
Maryam ImaniHassan GhassemianPublished in: Inf. Sci. (2016)
Keyphrases
- remote sensing
- high dimensional data
- feature extraction
- dimensionality reduction
- dimension reduction
- image processing
- linear discriminant analysis
- manifold learning
- low dimensional
- high dimensional
- change detection
- remote sensing images
- high dimensionality
- nearest neighbor
- multispectral
- remote sensing imagery
- image analysis
- hyperspectral
- data sets
- subspace clustering
- data analysis
- automatic image registration
- similarity search
- remote sensing data
- sparse representation
- data points
- high resolution
- satellite images
- principal component analysis
- original data
- clustering high dimensional data
- satellite data
- pattern recognition
- face recognition
- input space
- feature selection
- land cover
- discriminant analysis
- feature vectors
- feature space
- random projections
- multi spectral images
- hyperspectral images
- binary codes
- input data
- image classification
- digital image analysis
- lower dimensional
- earth observation
- remote sensed images
- unsupervised learning
- wavelet transform
- training data