A Novel Approach for Estimation of Above-Ground Biomass of Sugar Beet Based on Wavelength Selection and Optimized Support Vector Machine.
Jing ZhangHaiqing TianDi WangHaijun LiAbdul Mounem MouazenPublished in: Remote. Sens. (2020)
Keyphrases
- support vector machine
- selection criterion
- parameter estimation
- support vector machine svm
- support vector
- feature selection
- infrared
- k nearest neighbor
- accurate estimation
- multi class
- kernel function
- svm classifier
- kernel methods
- selection algorithm
- estimation accuracy
- small sample
- selection criteria
- selection strategy
- maximum likelihood
- training set
- multiscale
- training data
- case study