Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood.
Gareth IrelandMichele VolpiGeorge P. PetropoulosPublished in: Remote. Sens. (2015)
Keyphrases
- supervised machine learning
- landsat tm
- satellite images
- soil erosion
- remote sensing
- change detection
- land cover
- remote sensing images
- manually annotated
- supervised learning
- supervised classification
- urban areas
- multispectral
- training data
- active learning
- training set
- decision trees
- natural environment
- feature selection
- image processing
- computer vision
- feature set
- image data
- ground truth
- automatic extraction
- high level