Assessment of Antarctic moss health from multi-sensor UAS imagery with Random Forest Modelling.
Francisco J. Romero RamírezRafael M. Navarro-CerrilloM. Ángeles Varo-MartínezJose Luis QueroStefan DoerrRocío Hernández-ClementePublished in: Int. J. Appl. Earth Obs. Geoinformation (2018)
Keyphrases
- random forest
- multi sensor
- data fusion
- random forests
- infrared
- multi sensor fusion
- decision trees
- fusion algorithm
- image fusion
- multiple sensors
- ensemble methods
- feature set
- image processing
- decision tree learning algorithms
- fusion method
- high resolution
- visual information
- base classifiers
- multi label
- information fusion
- coarse to fine
- high dimensional
- multiscale
- neural network