Estimating Soil Moisture from C and X Band Sar Using Machine Learning Algorithms and Compact Polarimetry.
Emanuele SantiSimone PettinatoSimonetta PalosciaMohammed DabboorClaudia NotarnicolaAntonio PadovanoFelix GreifenederGiovanni CuozzoPublished in: IGARSS (2018)
Keyphrases
- machine learning algorithms
- soil moisture
- synthetic aperture radar
- sar images
- learning algorithm
- benchmark data sets
- machine learning
- decision trees
- predictive accuracy
- learning problems
- image reconstruction
- machine learning methods
- random forests
- machine learning approaches
- machine learning models
- learning tasks
- parameter estimation
- statistical machine learning
- input features
- target detection
- learning models
- active learning
- least squares
- hyperspectral images
- data sets
- machine learning systems
- standard machine learning algorithms
- denoising
- maximum likelihood
- model selection
- feature selection
- machine learning and data mining algorithms