A Multi-Scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery.
Sicong LiuQing HuXiaohua TongJunshi XiaQian DuAlim SamatXiaolong MaPublished in: Remote. Sens. (2020)
Keyphrases
- feature extraction and selection
- remotely sensed imagery
- multiscale
- pattern recognition
- feature extraction
- classification accuracy
- decision trees
- natural images
- image processing
- feature set
- feature space
- remotely sensed
- superpixels
- satellite images
- machine learning
- image analysis
- change detection
- neural network
- support vector
- training data
- image segmentation