Unsupervised Hierarchical Land Classification Using Self-Organizing Feature Codebook for Decimeter-Resolution PolSAR.
Hyunsoo KimAkira HirosePublished in: IEEE Trans. Geosci. Remote. Sens. (2019)
Keyphrases
- feature vectors
- unsupervised learning
- supervised learning
- neural network
- training set
- supervised classification
- feature set
- partially supervised
- vector quantization
- classification accuracy
- support vector machine
- hierarchical classification
- pattern recognition
- pattern classification
- classification method
- object classification
- image representation
- machine learning
- image processing
- feature extraction
- high resolution
- text classification
- feature space
- decision trees
- competitive learning
- feature weights
- feature values
- support vector
- automatic classification
- unsupervised classification
- restricted boltzmann machine
- benchmark datasets
- support vector machine svm
- training samples
- feature representation
- preprocessing stage
- feature analysis
- feature ranking
- discriminative features
- hierarchical structure
- classification algorithm
- image features
- image classification