Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction.
Barat MojaradiHamid Abrishami MoghaddamMohammad Javad Valadan ZoejRobert P. W. DuinPublished in: IEEE Trans. Geosci. Remote. Sens. (2009)
Keyphrases
- hyperspectral data
- dimensionality reduction
- random projections
- feature extraction
- hyperspectral
- hyperspectral imagery
- principal components
- hyperspectral images
- principal component analysis
- spectral bands
- pattern recognition
- linear discriminant analysis
- low dimensional
- dimension reduction
- remote sensing
- feature space
- spectral resolution
- feature vectors
- multispectral
- preprocessing
- high dimensional data
- dimensionality reduction methods
- feature selection
- infrared
- input space
- hyperspectral remote sensing
- frequency domain
- wavelet transform
- image processing
- face recognition
- image classification
- data points
- singular value decomposition
- high dimensional
- lower dimensional
- high dimensionality
- support vector machine svm
- spatial resolution
- principal components analysis
- principle component analysis
- image data
- image analysis
- high dimensional feature space
- data compression
- mutual information
- discriminant analysis
- high quality
- computer vision
- machine learning