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Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests

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Electrical and Electronic Engineering, General Earth and Planetary Sciences

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Citation

Please use this url to cite or link to this publication:

MLA
Krishna Moorthy, Sruthi M., et al. “Improved Supervised Learning-Based Approach for Leaf and Wood Classification from LiDAR Point Clouds of Forests.” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020.
APA
Krishna Moorthy, S. M., Calders, K., Vicari, M. B., & Verbeeck, H. (2020). Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.
Chicago author-date
Krishna Moorthy, Sruthi M, Kim Calders, Matheus B Vicari, and Hans Verbeeck. 2020. “Improved Supervised Learning-Based Approach for Leaf and Wood Classification from LiDAR Point Clouds of Forests.” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.
Chicago author-date (all authors)
Krishna Moorthy, Sruthi M, Kim Calders, Matheus B Vicari, and Hans Verbeeck. 2020. “Improved Supervised Learning-Based Approach for Leaf and Wood Classification from LiDAR Point Clouds of Forests.” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.
Vancouver
1.
Krishna Moorthy SM, Calders K, Vicari MB, Verbeeck H. Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 2020;
IEEE
[1]
S. M. Krishna Moorthy, K. Calders, M. B. Vicari, and H. Verbeeck, “Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests,” IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020.
@article{8635544,
  author       = {Krishna Moorthy, Sruthi M and Calders, Kim and Vicari, Matheus B and Verbeeck, Hans},
  issn         = {0196-2892},
  journal      = {IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING},
  keywords     = {Electrical and Electronic Engineering,General Earth and Planetary Sciences},
  language     = {eng},
  title        = {Improved supervised learning-based approach for leaf and wood classification from LiDAR point clouds of forests},
  url          = {http://dx.doi.org/10.1109/tgrs.2019.2947198},
  year         = {2020},
}

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