Classification of aircraft using micro-Doppler bicoherence-based features.
Pavlo O. MolchanovKaren O. EgiazarianJaakko AstolaAlexander V. TotskySergey LeshchenkoMaría-Pilar Jarabo-AmoresPublished in: IEEE Trans. Aerosp. Electron. Syst. (2014)
Keyphrases
- feature vectors
- classification accuracy
- feature space
- feature set
- feature extraction
- classification process
- classification method
- classification models
- svm classifier
- class labels
- extracted features
- decision trees
- feature analysis
- decision tree classifiers
- feature weights
- feature values
- gender classification
- svm classification
- bayesian classifier
- discriminative features
- benchmark datasets
- support vector
- classification algorithm
- low level
- high dimensionality
- co occurrence
- feature selection
- multiple classifiers
- training data
- machine learning approaches
- classification scheme
- automatic classification
- semi supervised
- signal processing
- image classification
- feature selection algorithms
- support vector machine svm
- learning algorithm
- supervised learning
- features extraction
- irrelevant features
- labeled data
- machine learning algorithms
- image features
- pattern recognition
- support vector machine
- feature representation
- pattern classification
- object recognition
- high dimensional