Feature extraction using PCA for VHR satellite image time series spatio-temporal classification.
Safa RejichiFerdaous ChaabanePublished in: IGARSS (2015)
Keyphrases
- feature extraction
- remote sensing
- change detection
- satellite images
- remotely sensed
- spatio temporal
- principal component analysis
- remote sensing images
- pattern classification
- aerial images
- feature vectors
- support vector machine svm
- image processing
- dimension reduction
- dimensionality reduction
- feature space
- multispectral
- digital elevation models
- image classification
- remotely sensed imagery
- hyperspectral data
- pattern recognition
- preprocessing
- principle component analysis
- face recognition
- satellite imagery
- feature selection
- fisher linear discriminant
- feature extraction and classification
- high resolution
- extracted features
- wavelet transform
- discriminant analysis
- image analysis
- support vector
- classification accuracy
- kernel principal component analysis
- extracting features
- hyperspectral
- land cover
- principal components analysis
- texture features
- feature set
- linear discriminant analysis
- gabor filters
- principal components
- face images
- supervised learning
- training set
- image sequences
- geographical information systems
- dimensionality reduction methods
- feature reduction
- remotely sensed images
- google earth