Spectroscopic Determination of Aboveground Biomass in Grasslands Using Spectral Transformations, Support Vector Machine and Partial Least Squares Regression.
Miguel MarabelFlor Álvarez-TaboadaPublished in: Sensors (2013)
Keyphrases
- partial least squares regression
- support vector machine
- svm classifier
- support vector
- training data
- multi class
- spectral analysis
- feature vectors
- neural network
- high classification accuracy
- generalization ability
- data sets
- feature selection
- multispectral images
- multi class support vector machines
- stock market prediction
- svm classification
- small sample
- hyperspectral
- hyperplane
- classification algorithm
- kernel function
- kernel methods
- classification method
- machine learning
- feature space
- support vector regression
- knn
- learning algorithm
- soft margin
- spectral features
- aerial photographs
- fermentation process
- training set