Classification of Summer Crops Using Active Learning Techniques on Landsat Images in the Northwest of the Province of Buenos Aires.
Lucas Benjamin CicerchiaMaría José AbásoloClaudia Cecilia RussoPublished in: JCC-BD&ET (2020)
Keyphrases
- active learning
- classification systems
- supervised learning
- machine learning
- pattern recognition
- classification accuracy
- pattern classification
- decision trees
- selective sampling
- feature vectors
- classification algorithm
- class imbalance
- classification scheme
- feature space
- annotation effort
- feature selection
- batch mode active learning
- support vector machine svm
- rare class
- cost sensitive
- classification method
- benchmark datasets
- training samples
- semi supervised learning
- training data
- preprocessing
- training set
- support vector machine
- learning process
- random sampling
- hyperspectral image classification
- learning algorithm
- support vector
- sample selection
- hyperspectral images
- machine learning algorithms
- classification models
- text classification
- model selection
- machine learning methods
- transfer learning
- class labels
- data mining