York University
AUSMLab Logo

Maximizing the diversity of ensemble random forests for tree genera classification using high density LiDAR data

Remote Sensing

Abstract

Authors: Ko, Connie, Sohn, Gunho, Remmel, Tarmo K, Miller, John R

Published in Remote Sensing, 2016

BibTeX Citation

@article{ko2016maximizing,
  title={Maximizing the diversity of ensemble random forests for tree genera classification using high density LiDAR data},
  author={Ko, Connie and Sohn, Gunho and Remmel, Tarmo K and Miller, John R},
  journal={Remote Sensing},
  volume={8},
  number={8},
  pages={646},
  year={2016},
  publisher={MDPI}
  }

Quick Actions

Authors