Random forest in remote sensing: A review of applications and future directions
Random forest in remote sensing: A review of applications and future directions
Mariana Belgiu,L. Drăguţ
2016 · DOI: 10.1016/J.ISPRSJPRS.2016.01.011
6,010 Citations
TLDR
This review has revealed that RF classifier can successfully handle high data dimensionality and multicolinearity, being both fast and insensitive to overfitting.
