SIC-TFRF: Sea Ice Classification with Textural Features and Random Forest.
Ruixin CaoXiang ZhuHui ZhangKefeng DengXiaoli RenXiaoyong LiPublished in: ICPADS (2023)
Keyphrases
- random forest
- textural features
- decision trees
- feature set
- classification accuracy
- sea ice
- pattern recognition
- visual inspection
- ensemble methods
- image classification
- pixel classification
- texture features
- gray level
- text classification
- machine learning
- training set
- feature space
- feature vectors
- machine learning methods
- support vector
- feature extraction
- higher order
- benchmark datasets
- texture analysis
- local binary pattern
- cost sensitive
- object recognition
- face recognition
- feature selection
- computer vision