Comparison of Support Vector Machine and Random Forest Algorithms for Invasive and Expansive Species Classification Using Airborne Hyperspectral Data.
Anita Sabat-TomalaEdwin RaczkoBogdan ZagajewskiPublished in: Remote. Sens. (2020)
Keyphrases
- hyperspectral data
- random forest
- support vector machine
- hyperspectral
- decision tree learning algorithms
- hyperspectral images
- decision trees
- multispectral
- hyperspectral imagery
- benchmark datasets
- random projections
- pattern recognition
- feature set
- ensemble classifier
- remote sensing
- svm classifier
- machine learning algorithms
- image data
- feature vectors
- training data
- machine learning
- infrared
- support vector machine svm
- text classification
- ensemble methods
- multi class
- support vector
- feature extraction
- class labels
- k nearest neighbor
- data compression
- feature space
- feature selection