On the Importance of Train-Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification.
Kamila Pawluszek-FilipiakAndrzej BorkowskiPublished in: Remote. Sens. (2020)
Keyphrases
- supervised classification
- supervised learning
- supervised classifiers
- unsupervised clustering
- unsupervised learning
- land cover classification
- detection algorithm
- statistical learning theory
- object detection
- test data
- unsupervised classification
- detection method
- false positives
- statistical tests
- bayesian networks
- database
- semi supervised learning
- text classification
- data points
- bayesian classifiers
- data analysis
- remotely sensed images
- learning environment