Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier.
Himan ShahabiAtaollah ShirzadiKayvan GhaderiEbrahim OmidvarNadhir Al-AnsariJohn J. ClagueMarten GeertsemaKhabat KhosraviAta AminiSepideh BahramiOmid RahmatiKyoumars HabibiAyub MohammadiHoang NguyenAssefa M. MelesseBaharin Bin AhmadAnuar AhmadPublished in: Remote. Sens. (2020)
Keyphrases
- remote sensing data
- ensemble methods
- ensemble learning
- remote sensing
- random forests
- ensemble classification
- multispectral
- random forest
- base classifiers
- classifier ensemble
- imbalanced data
- change detection
- training set
- majority voting
- decision trees
- ensemble members
- ensemble classifier
- training data
- hyperspectral
- ensemble selection
- detection algorithm
- remote sensing images
- decision tree ensembles
- land cover
- remotely sensed data
- false alarms
- prediction accuracy
- pattern recognition
- target detection
- weak classifiers
- base learners
- benchmark datasets
- decision tree classifiers
- class label noise
- neural network
- road network
- false positives
- knn
- image data
- active learning
- feature selection
- learning algorithm