Improving Spring Maize Yield Estimation at Field Scale by Assimilating Time-Series HJ-1 CCD Data into the WOFOST Model Using a New Method with Fast Algorithms.
Zhiqiang ChengJihua MengYiming WangPublished in: Remote. Sens. (2016)
Keyphrases
- input data
- test data
- statistical methods
- prior knowledge
- theoretical analysis
- estimation process
- noisy data
- computational cost
- synthetic data
- significant improvement
- classification algorithm
- mathematical model
- parameter estimation
- data sets
- linear models
- prior information
- data structure
- cost function
- experimental data
- hybrid model
- monte carlo simulation
- estimation algorithm
- learned models
- em algorithm
- learning models
- training data
- discrete data
- statistical model
- parameter estimates
- computational complexity
- multivariate time series
- probabilistic model
- predictive model
- probability distribution
- autoregressive
- support vector machine
- sufficient statistics
- computationally efficient
- hypothesis tests
- network structure
- high dimensional data
- density estimation
- data mining tasks
- bayesian methods
- autoregressive moving average
- objective function
- data mining algorithms
- large scale data sets
- dimensional vector
- regression algorithm
- temporal abstractions
- bp neural network
- prediction model
- image sequences
- data mining