Automate Lithological Classification of the Amotape Tahuin Metamorphic Complex in Ecuador using Random Forest and a Multi-Sensor Satellite Imagery Approach.
Erith MuñozJhonatan EnríquezDaniel ToctaguanoMarielisa BustosFranz BetancourtCarmen SanguchoVictor ParraAracely LimaAlfonso ZozayaPublished in: IGARSS (2020)
Keyphrases
- random forest
- multi sensor
- satellite imagery
- decision trees
- feature set
- random forests
- remote sensing
- image fusion
- data fusion
- infrared
- classification accuracy
- multi sensor fusion
- feature selection
- ensemble classifier
- pattern recognition
- training set
- fusion method
- satellite images
- change detection
- support vector
- text classification
- supervised learning
- image classification
- feature vectors
- machine learning algorithms
- support vector machine
- svm classifier
- moving objects
- urban areas
- feature space
- training samples
- unsupervised learning