Biophysical parameter estimation of crops from polarimetric synthetic aperture radar imagery with data-driven polynomial chaos expansion and global sensitivity analysis.
Mehmet Furkan CelikEsra ErtenPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- sensitivity analysis
- parameter estimation
- data driven
- synthetic aperture radar
- model selection
- least squares
- maximum likelihood
- markov random field
- parameter estimation algorithm
- em algorithm
- managerial insights
- influence diagrams
- random fields
- statistical models
- variational inequalities
- approximate inference
- parameter values
- posterior distribution
- expectation maximization
- maximum likelihood estimation
- decision variables
- parameters estimation
- model fitting
- hyperspectral
- data mining
- multispectral
- image data
- position estimation
- decision making
- feature selection