Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective.
Azar ZafariRaúl Zurita-MillaEmma Izquierdo-VerdiguierPublished in: IEEE Geosci. Remote. Sens. Lett. (2020)
Keyphrases
- randomized trees
- land cover classification
- multispectral
- supervised classification
- random forests
- remote sensing
- land cover
- function approximation
- remote sensing data
- kernel function
- kernel methods
- satellite data
- hyperspectral
- high spatial resolution
- remote sensing imagery
- feature space
- support vector
- multiple instance learning
- change detection
- pattern recognition
- image analysis
- similarity measure
- machine learning algorithms
- remote sensing images
- machine learning