Performance Comparison of Oil Spill and Ship Classification from X-Band Dual- and Single-Polarized SAR Image Using Support Vector Machine, Random Forest, and Deep Neural Network.
Won-Kyung BaekHyung-Sup JungPublished in: Remote. Sens. (2021)
Keyphrases
- sar images
- random forest
- oil spill
- support vector machine
- fold cross validation
- decision trees
- synthetic aperture radar
- neural network
- feature set
- random forests
- svm classifier
- support vector
- ensemble classifier
- feature vectors
- support vector machine svm
- classification accuracy
- decision tree learning algorithms
- machine learning
- feature selection
- multi class
- generalization ability
- text classification
- training set
- edge detector
- multi label
- machine learning methods
- knn
- ensemble methods
- wavelet domain
- machine learning algorithms
- base classifiers
- motion estimation
- benchmark datasets
- feature space
- training data
- feature extraction
- learning algorithm
- supervised learning