Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine Learning Approach.
Ítalo de Oliveira MatiasPatrícia Carneiro GenovezSarah Barrón TorresFrancisco Fábio de Araújo PonteAnderson José Silva de OliveiraFernando Pellon de MirandaGil Márcio AvellinoPublished in: Remote. Sens. (2021)
Keyphrases
- oil spill
- classification models
- sar images
- synthetic aperture radar
- decision trees
- training data
- feature selection
- sar imagery
- target detection
- wavelet domain
- software quality classification
- models built
- feature set
- edge detector
- attribute selection
- feature subset
- data sets
- image segmentation
- learning algorithm
- neural network
- high frequency
- motion estimation
- image data
- artificial neural networks
- target recognition
- image processing