Change detection methods based on low-rank sparse representation for multi-temporal remote sensing imagery.
Shulei WuYong BaiHuandong ChenPublished in: Clust. Comput. (2019)
Keyphrases
- change detection
- remote sensing imagery
- low rank
- sparse representation
- remote sensing
- low rank matrix recovery
- high dimensional data
- remote sensing images
- dictionary learning
- matrix factorization
- data streams
- land cover
- satellite images
- higher order
- linear combination
- pattern recognition
- convex optimization
- neural network
- image processing
- matrix completion
- active learning
- pairwise
- image analysis
- least squares
- image registration
- image features