Spectral-Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields.
Junshi XiaJocelyn ChanussotPeijun DuXiyan HePublished in: IEEE Trans. Geosci. Remote. Sens. (2015)
Keyphrases
- hyperspectral data
- markov random field
- hyperspectral images
- hyperspectral
- hyperspectral imagery
- feature extraction
- random projections
- multispectral
- remote sensing
- spectral signatures
- spectral bands
- infrared
- higher order
- random fields
- feature vectors
- target detection
- graph cuts
- pairwise
- image segmentation
- spectral resolution
- image classification
- data compression
- principal components
- discriminative random fields
- spatial information
- dimension reduction
- computer vision
- image processing
- dimensionality reduction
- spatial resolution
- pattern recognition
- principal component analysis
- spatial correlation
- image analysis
- feature space
- feature selection
- texture analysis
- face recognition
- information extraction
- multispectral images
- low dimensional
- satellite images