Modeling Uncertainty in Hyperspectral Image Classification Using Neural Networks with Bayesian Monte Carlo Dropout.
Jade PrestonWilliam BasenerPublished in: WHISPERS (2023)
Keyphrases
- monte carlo
- neural network
- monte carlo methods
- hyperspectral image classification
- monte carlo simulation
- markov chain
- monte carlo tree search
- adaptive sampling
- importance sampling
- confidence intervals
- particle filter
- matrix inversion
- pattern recognition
- markov chain monte carlo
- feature selection
- bayesian inference
- data sets
- temporal difference
- variance reduction
- learning environment
- decision trees
- quasi monte carlo
- markovian decision