Benchmark of machine learning methods for classification of a Sentinel-2 image

Keyphrases

• Training Data 100%
• Machine Learning Techniques 100%
• Multilayer Perceptron 100%
• Sentinel-2 Images 100%
• Support Vector Machine 66%
• Land Cover Classes 66%
• K-fold 66%
• Neural Network 33%
• Machine Learning Algorithms 33%
• Kernel Methods 33%
• Remote Sensing 33%
• Random Forest 33%
• Visual Interpretation 33%
• Grassland 33%
• Land Cover 33%
• Spatial Variability 33%
• Linear Discriminant Analysis 33%
• Sentinel-2 33%
• Model Value 33%
• Image Classification 33%
• Random Forest Method 33%
• High-resolution Image 33%
• Few Samples 33%
• Accuracy Index 33%
• K-fold Cross-validation 33%
• RBF Kernel 33%
• Ground Sample Distance 33%
• Class-specific 33%
• Kappa Index 33%
• Control Value 33%
• Spectral Variability 33%
• Tree Plantations 33%
• Semantic Categories 33%
• CTree 33%
• Logarithmic Regression 33%
• Challenging Issues 33%
• K-nearest 33%
• Labelled Image 33%

Earth and Planetary Sciences

• Land Cover 100%
• Sentinel-2 100%
• Machine Learning 100%
• Self Organizing Systems 100%
• Support Vector Machine 66%
• Grassland 33%
• European Space Agency 33%
• Discriminant Analysis 33%
• Image Classification 33%
• Remote Sensing 33%