A Mean Shift Vector-Based Shape Feature for Classification of High Spatial Resolution Remotely Sensed Imagery.
Rongjun QinPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2015)
Keyphrases
- remotely sensed imagery
- mean shift
- high spatial resolution
- shape features
- feature space
- feature vectors
- remote sensing
- spatial resolution
- multispectral
- high resolution
- video camera
- satellite images
- pattern recognition
- graph cuts
- hyperspectral data
- remote sensing images
- target tracking
- particle filter
- multispectral images
- machine learning
- feature extraction
- gaussian mixture model
- change detection
- texture features
- training set
- shape matching
- image fusion
- supervised classification
- multi view
- feature set
- image analysis
- feature selection