Machine Learning Classification, Feature Ranking and Regression for Water Quality Parameters Retrieval in Various Optical Water Types from Hyper-Spectral Observations.
Katalin BlixPublished in: IGARSS (2020)
Keyphrases
- water quality
- feature ranking
- machine learning
- measured data
- feature selection
- hyperspectral
- suzhou river
- feature subset selection
- support vector machine
- model selection
- high dimensionality
- support vector
- water resources
- feature subset
- pattern recognition
- machine learning methods
- classification models
- water treatment
- decision trees
- text categorization
- hyperspectral data
- fold cross validation
- text classification
- multi layer perceptron
- feature extraction
- machine learning algorithms
- random forest
- supervised learning
- classification method
- data sets
- image classification
- classification accuracy
- computer vision
- multispectral
- class labels
- feature selection algorithms
- genetic programming
- operating conditions
- artificial neural networks
- high dimensional
- feature space
- learning algorithm
- neural network