Multiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection.
Paul C. SmitsPublished in: IEEE Trans. Geosci. Remote. Sens. (2002)
Keyphrases
- dynamic classifier selection
- remote sensing
- image classification
- multiple classifier systems
- remotely sensed data
- change detection
- image processing
- image analysis
- high resolution
- remote sensing data
- supervised learning
- image fusion
- machine learning
- semi supervised
- feature extraction
- land cover
- image features
- pattern recognition
- feature selection
- classification accuracy
- multi label
- classification systems
- learning algorithm
- unsupervised learning
- decision trees
- field of pattern recognition
- neural network
- feature vectors
- texture classification
- class specific
- majority voting