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Estimating tree species composition from airborne laser scanning data using point-based deep learning models

Brent A. Murray, Nicholas C. Coops, Lukas Winiwarter, Joanne C. White, Adam Dick, Ignacio Barbeito and Ahmed Ragab

Article (2024)

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Department: Department of Mathematics and Industrial Engineering
PolyPublie URL: https://publications.polymtl.ca/57218/
Journal Title: ISPRS Journal of Photogrammetry and Remote Sensing (vol. 207)
Publisher: Elsevier
DOI: 10.1016/j.isprsjprs.2023.12.008
Official URL: https://doi.org/10.1016/j.isprsjprs.2023.12.008
Date Deposited: 29 Jan 2024 14:38
Last Modified: 05 Apr 2024 12:05
Cite in APA 7: Murray, B. A., Coops, N. C., Winiwarter, L., White, J. C., Dick, A., Barbeito, I., & Ragab, A. (2024). Estimating tree species composition from airborne laser scanning data using point-based deep learning models. ISPRS Journal of Photogrammetry and Remote Sensing, 207, 282-297. https://doi.org/10.1016/j.isprsjprs.2023.12.008

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