Evaluating capabilities of machine learning algorithms for aquatic vegetation classification in temperate wetlands using multi-temporal Sentinel-2 data.
Erika PiaserPaolo VillaPublished in: Int. J. Appl. Earth Obs. Geoinformation (2023)
Keyphrases
- machine learning algorithms
- benchmark data sets
- machine learning
- learning algorithm
- decision trees
- learning models
- machine learning approaches
- machine learning methods
- predictive accuracy
- temporal data
- feature vectors
- data mining techniques
- data sets
- learning problems
- random forests
- training set
- data structure
- model selection
- labeled data
- supervised learning
- supervised learning algorithms
- machine learning models
- natural language processing
- support vector machine
- knowledge discovery
- data points
- classification accuracy
- feature space
- support vector
- reinforcement learning
- training data
- data mining