Uncertainty Assessment of Hyperspectral Image Classification: Deep Learning vs. Random Forest.
Majid Shadman RoodposhtiJagannath AryalArko LucieerBrett A. BryanPublished in: Entropy (2019)
Keyphrases
- high dimensional
- random forest
- deep learning
- hyperspectral image classification
- active learning
- unsupervised learning
- decision trees
- dimensionality reduction
- hyperspectral images
- feature set
- machine learning
- hyperspectral
- multi label
- ensemble methods
- weakly supervised
- mental models
- supervised learning
- base classifiers
- image processing
- pattern recognition
- computer vision