Ensemble of multiple CNN classifiers for HSI classification with Superpixel Smoothing.
Prasanth SikakolluRatnakar DashPublished in: Comput. Geosci. (2021)
Keyphrases
- final classification
- ensemble classifier
- multiple classifiers
- classifier ensemble
- majority voting
- training set
- classification systems
- classification algorithm
- accurate classifiers
- multiple classifier systems
- individual classifiers
- classification method
- decision trees
- feature selection
- training data
- svm classifier
- combining classifiers
- classifier combination
- decision tree classifiers
- support vector
- machine learning methods
- ensemble learning
- class labels
- binary classifiers
- classification decisions
- ensemble classification
- classification models
- supervised classification
- classification accuracy
- support vector machine
- feature set
- combining multiple
- classification rate
- training samples
- machine learning algorithms
- base classifiers
- image classification
- ensemble methods
- decision boundary
- randomized trees
- binary classification problems
- weak learners
- imbalanced data
- probabilistic classifiers
- concept drifting data streams
- machine learning
- learning algorithm
- benchmark datasets
- supervised learning
- accurate classification
- convolutional neural network
- classifier fusion
- multi class
- neural network
- feature ranking
- knn
- naive bayes
- weak classifiers
- support vector machine svm
- trained classifiers
- face detection
- feature vectors
- mean shift
- random forests