Using Linear Regression, Random Forests, and Support Vector Machine with Unmanned Aerial Vehicle Multispectral Images to Predict Canopy Nitrogen Weight in Corn.
Hwang LeeJinfei WangBrigitte LeblonPublished in: Remote. Sens. (2020)
Keyphrases
- random forests
- linear regression
- multispectral images
- unmanned aerial vehicles
- support vector machine
- multispectral
- regression problems
- random forest
- least squares
- regression trees
- decision trees
- logistic regression
- machine learning algorithms
- ridge regression
- remote sensing images
- ensemble methods
- spatial resolution
- color images
- regression methods
- remote sensing
- support vector
- machine learning
- edge information
- regression method
- multi class
- kernel function
- control algorithm
- path planning
- support vector machine svm
- image data
- feature vectors
- svm classifier
- training data
- learning algorithm
- k nearest neighbor
- fusion method
- feature space