A Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification.
Weiwei SunGang YangBo DuLefei ZhangLiangpei ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2017)
Keyphrases
- feature extraction
- support vector machine svm
- classification accuracy
- dimension reduction
- feature set
- pattern recognition
- hyperspectral imagery
- support vector machine
- edge detection
- feature vectors
- training samples
- image analysis
- wavelet transform
- feature space
- detection method
- data fusion
- kalman filter
- similarity measure
- image processing