Estimating the Growing Stem Volume of Chinese Pine and Larch Plantations based on Fused Optical Data Using an Improved Variable Screening Method and Stacking Algorithm.
Xinyu LiZhaohua LiuHui LinGuangxing WangHua SunJiangping LongMeng ZhangPublished in: Remote. Sens. (2020)
Keyphrases
- input data
- noisy data
- dynamic programming
- cost function
- preprocessing
- improved algorithm
- synthetic data
- experimental evaluation
- high accuracy
- similarity matrix
- computational cost
- objective function
- detection method
- clustering method
- computationally efficient
- segmentation algorithm
- k means
- theoretical analysis
- detection algorithm
- segmentation method
- prior knowledge
- information loss
- labeling process
- optimization algorithm
- extracted features
- dimensional data
- prior information
- recognition algorithm
- optimization method
- large scale data sets
- dissimilarity matrix
- support vector machine svm
- missing data
- data sets
- estimation process
- similarity measure
- classification trees
- significant improvement
- matching algorithm
- data structure
- optimal solution
- energy function
- spectral clustering
- learning algorithm
- tree structure
- computational complexity
- test data
- classification algorithm
- bayesian methods
- sampling methods
- support vector machine
- convergence rate
- data fusion
- clustering algorithm
- expectation maximization
- em algorithm