Impact of Various Atmospheric Corrections on Sentinel-2 Land Cover Classification Accuracy Using Machine Learning Classifiers.
Luka RumoraMario MilerDamir MedakPublished in: ISPRS Int. J. Geo Inf. (2020)
Keyphrases
- land cover
- supervised classification
- classification accuracy
- machine learning
- feature selection
- naive bayes
- support vector
- multiple classifier systems
- machine learning algorithms
- land cover classification
- remote sensing
- training set
- feature set
- decision trees
- multispectral
- training data
- remote sensing images
- supervised learning
- change detection
- remotely sensed images
- satellite images
- text classification
- unsupervised learning
- environmental variables
- feature subset
- geographic information systems
- databases
- support vector machine
- feature space
- pattern recognition
- remote sensing data
- data mining
- high quality
- model selection
- learning algorithm
- remotely sensed data
- urban growth
- neural network