An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery.
Xin HuangLiangpei ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2013)
Keyphrases
- semantic features
- remotely sensed imagery
- support vector
- high resolution
- text classification
- support vector machine
- remote sensing
- feature selection
- structural features
- feature vectors
- remotely sensed
- pattern recognition
- feature space
- satellite images
- knn
- machine learning
- classification accuracy
- feature set
- training set
- hyperspectral
- wordnet
- visual features
- feature extraction
- hyperspectral images
- semantic information
- domain knowledge
- high quality
- semantic similarity
- database
- face recognition
- hyperspectral data
- change detection
- image classification