Interpretable POLSAR Image Classification Based on Adaptive-Dimension Feature Space Decision Tree.
Qiang YinJianda ChengFan ZhangYongsheng ZhouLuyi ShaoWen HongPublished in: IEEE Access (2020)
Keyphrases
- image classification
- feature space
- decision trees
- image representation
- visual words
- feature extraction
- bag of words
- sparse coding
- high dimensional
- classification rules
- high dimension
- training set
- lower dimension
- decision tree algorithm
- dimension reduction
- sparse representation
- logistic regression
- principal component analysis
- feature vectors
- decision tree induction
- multiscale
- training data
- machine learning algorithms
- mean shift
- high dimensional data
- genetic programming
- image features
- random forest
- information gain
- decision table
- learning algorithm