Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction.
Lori Mann BruceCliff H. KogerJiang LiPublished in: IEEE Trans. Geosci. Remote. Sens. (2002)
Keyphrases
- discrete wavelet transform
- dimensionality reduction
- hyperspectral data
- feature extraction
- random projections
- feature vectors
- hyperspectral
- principal components
- hyperspectral images
- multiresolution
- hyperspectral imagery
- subband
- wavelet domain
- principal component analysis
- wavelet coefficients
- wavelet transform
- remote sensing
- linear discriminant analysis
- palmprint
- image fusion
- high dimensional data
- dimension reduction
- low frequency
- low dimensional
- high frequency
- pattern recognition
- frequency domain
- multispectral
- feature space
- high dimensional
- image processing
- infrared
- image classification
- sparse representation
- discriminant analysis
- high dimensionality
- multiscale
- face recognition
- feature selection
- singular value decomposition
- texture analysis
- spatial domain
- texture features
- feature set
- high quality
- computer vision
- machine learning