Cite

Analysis of UAS-LiDAR Ground Points Classification in Agricultural Fields Using Traditional Algorithms and PointCNN.

MLA

Fareed, Nadeem, et al. “Analysis of UAS-LiDAR Ground Points Classification in Agricultural Fields Using Traditional Algorithms and PointCNN.” Remote Sensing, vol. 15, no. 2, Jan. 2023, p. 483. EBSCOhost, https://doi.org/10.3390/rs15020483.



APA

Fareed, N., Flores, J. P., & Das, A. K. (2023). Analysis of UAS-LiDAR Ground Points Classification in Agricultural Fields Using Traditional Algorithms and PointCNN. Remote Sensing, 15(2), 483. https://doi.org/10.3390/rs15020483



Chicago

Fareed, Nadeem, Joao Paulo Flores, and Anup Kumar Das. 2023. “Analysis of UAS-LiDAR Ground Points Classification in Agricultural Fields Using Traditional Algorithms and PointCNN.” Remote Sensing 15 (2): 483. doi:10.3390/rs15020483.