Discriminative Spectral-Spatial Margin-Based Semisupervised Dimensionality Reduction of Hyperspectral Data.
Zhixi FengShuyuan YangShigang WangLicheng JiaoPublished in: IEEE Geosci. Remote. Sens. Lett. (2015)
Keyphrases
- hyperspectral data
- random projections
- dimensionality reduction
- semi supervised
- hyperspectral
- hyperspectral imagery
- spectral signatures
- hyperspectral images
- principal components
- feature extraction
- multispectral
- spectral bands
- pairwise constraints
- unlabeled data
- unsupervised learning
- remote sensing
- spectral resolution
- principal component analysis
- high dimensional
- low dimensional
- feature selection
- spatial frequency
- lower dimensional
- high dimensionality
- high dimensional data
- dimension reduction
- spatial information
- data points
- input space
- pattern recognition
- spatial correlation
- infrared
- sparse representation
- data compression
- labeled data
- image data
- linear discriminant analysis
- singular value decomposition
- dimensionality reduction methods
- computer vision
- target detection
- high resolution
- pairwise
- data sets
- satellite images
- knn
- support vector
- image processing
- learning algorithm