Hui, Z.; Li, Z.; Li, D.; Xu, Y.; Wang, Y.
Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization. Remote Sens. 2023, 15, 4013.
https://doi.org/10.3390/rs15164013
AMA Style
Hui Z, Li Z, Li D, Xu Y, Wang Y.
Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization. Remote Sensing. 2023; 15(16):4013.
https://doi.org/10.3390/rs15164013
Chicago/Turabian Style
Hui, Zhenyang, Zhuoxuan Li, Dajun Li, Yanan Xu, and Yuqian Wang.
2023. "Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization" Remote Sensing 15, no. 16: 4013.
https://doi.org/10.3390/rs15164013
APA Style
Hui, Z., Li, Z., Li, D., Xu, Y., & Wang, Y.
(2023). Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization. Remote Sensing, 15(16), 4013.
https://doi.org/10.3390/rs15164013