An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification.
Rawaa HamdiAkrem SellamiImed Riadh FarahPublished in: ATSIP (2018)
Keyphrases
- hyperspectral imagery
- dimensionality reduction
- hyperspectral data
- hyperspectral images
- feature extraction
- high dimensionality
- pattern recognition
- hyperspectral
- feature selection
- dimensionality reduction methods
- remote sensing
- multispectral
- feature vectors
- feature space
- support vector
- machine learning
- principal components
- spectral bands
- low dimensional
- classification accuracy
- face recognition
- class labels
- change detection
- linear discriminant analysis
- support vector machine svm
- principal component analysis
- spatial resolution
- support vector machine
- high dimensional
- training set