A Multiscale Random Forest Kernel for Land Cover Classification

Random forest (RF) is a popular ensemble learning method that is widely used for the analysis of remote sensing images. RF also has connections with the kernel-based method. Its tree-based structure can generate an RF kernel (RFK) that provides an alternative to common kernels such as radial basis f...

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Bibliographic Details
Main Authors: Azar Zafari, Raul Zurita-Milla, Emma Izquierdo-Verdiguier
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9103198/