A Multiscale Random Forest Kernel for Land Cover Classification.
Azar ZafariRaúl Zurita-MillaEmma Izquierdo-VerdiguierPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- random forest
- land cover classification
- multiscale
- multispectral
- supervised classification
- remote sensing data
- high spatial resolution
- decision trees
- land cover
- feature set
- remote sensing
- kernel function
- wavelet transform
- hyperspectral
- remote sensing imagery
- ensemble methods
- satellite data
- image processing
- wavelet coefficients
- image fusion
- multi label
- spatial resolution
- image segmentation
- support vector
- wavelet domain
- feature vectors
- feature space
- multispectral images
- neural network
- active learning
- image analysis