Terrain classification of aerial image based on low-rank recovery and sparse representation.
Xu MaShuai HaoYongmei ChengPublished in: FUSION (2017)
Keyphrases
- low rank
- sparse representation
- high dimensional data
- low rank matrix recovery
- sparsity constraints
- linear combination
- group sparsity
- sparse coding
- dictionary learning
- convex optimization
- matrix factorization
- singular value decomposition
- low rank matrix
- missing data
- matrix completion
- kernel matrix
- dimensionality reduction
- face recognition
- reconstruction error
- high order
- image patches
- nearest neighbor
- image classification
- compressive sensing
- semi supervised
- data points
- data analysis
- high dimensional
- data sets
- image representation
- data matrix
- computer vision
- compressed sensing
- random projections
- feature extraction
- low dimensional
- subspace learning
- object detection
- original data