Hyperspectral Image Classification: A Hybrid Approach Integrating Random Forest Feature Selection and Convolutional Neural Networks for Enhanced Accuracy.
Sanjay MDeepashree P. VaideeswarBagadi KalapraveenVisalakshi AnnepuNaseeba BeebiPublished in: Int. J. Perform. Eng. (2024)
Keyphrases
- random forest
- fold cross validation
- feature set
- feature reduction
- feature selection
- convolutional neural networks
- selected features
- hyperspectral image classification
- classification accuracy
- decision trees
- decision tree learning algorithms
- ensemble methods
- prediction accuracy
- multi label
- support vector machine
- ensemble classifier
- machine learning
- feature extraction
- active learning
- support vector
- dimension reduction
- text categorization
- mutual information
- hyperspectral images
- image analysis
- data streams
- data sets