Locality Preserving Composite Kernel Feature Extraction for Multi-Source Geospatial Image Analysis.
Yuhang ZhangSaurabh PrasadPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2015)
Keyphrases
- multi source
- locality preserving
- feature extraction
- image analysis
- kernel trick
- dimensionality reduction
- manifold learning
- face recognition
- feature space
- data fusion
- pattern recognition
- kernel pca
- information fusion
- texture classification
- texture analysis
- image processing
- dimensionality reduction methods
- locality preserving projections
- kernel function
- kernel methods
- input space
- maximum margin
- data integration
- computer vision
- multiple sources
- linear discriminant analysis
- dimension reduction
- embedding space
- principal component analysis
- support vector
- kernel learning
- feature vectors
- manifold structure
- image classification
- feature selection
- texture features
- locality sensitive hashing
- discriminant analysis
- hash functions
- feature representation
- principle component analysis
- data sources
- machine learning
- multiple kernel learning
- semi supervised
- feature set
- high dimensional data
- latent semantic indexing
- image segmentation
- high dimensional feature space
- database systems
- spatial data