Cite
Evaluation of LiDAR-Derived Features Relevance and Training Data Minimization for 3D Point Cloud Classification
MLA
Salem Morsy, and Ahmed Shaker. “Evaluation of LiDAR-Derived Features Relevance and Training Data Minimization for 3D Point Cloud Classification.” Remote Sensing, vol. 14, no. 23, Nov. 2022, p. 5934. EBSCOhost, https://doi.org/10.3390/rs14235934.
APA
Salem Morsy, & Ahmed Shaker. (2022). Evaluation of LiDAR-Derived Features Relevance and Training Data Minimization for 3D Point Cloud Classification. Remote Sensing, 14(23), 5934. https://doi.org/10.3390/rs14235934
Chicago
Salem Morsy, and Ahmed Shaker. 2022. “Evaluation of LiDAR-Derived Features Relevance and Training Data Minimization for 3D Point Cloud Classification.” Remote Sensing 14 (23): 5934. doi:10.3390/rs14235934.