Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery.
Zhiyong LvGuangfei LiZhenong JinJón Atli BenediktssonGiles M. FoodyPublished in: IEEE Trans. Geosci. Remote. Sens. (2021)
Keyphrases
- training samples
- classification accuracy
- training set
- feature space
- supervised learning
- aerial images
- decision boundary
- change detection
- hyperplane
- training data
- learning algorithm
- nearest neighbor classifier
- discriminative information
- training dataset
- image classification
- test sample
- high dimensional
- training examples
- pattern classification
- remote sensing
- image data
- decision function
- feature vectors
- decision trees
- class labels
- remote sensing images
- feature selection
- machine learning methods
- classification method
- face images
- pattern recognition
- svm classifier
- benchmark datasets
- prediction accuracy
- support vector machine svm
- image registration
- multi class
- support vector machine
- image analysis