Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1428001(2021)
Adaptive Denoising Algorithm for Photon-Counting LiDAR Point Clouds
Fig. 1. Airport building photos and point cloud data. (a) Airport building; (b) point cloud data
Fig. 6. Denoising result of the point cloud. (a) Noise and signal points after processing; (b) partial enlarged view
Fig. 8. Processing results of the MABEL point cloud data. (a) No.6; (b) No.8; (c) No.3; (d) No.9
|
|
|
|
|
Get Citation
Copy Citation Text
Chunhui Wang, Aoyou Wang, Wei Rong, Yuliang Tao, Ruimin Fu. Adaptive Denoising Algorithm for Photon-Counting LiDAR Point Clouds[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1428001
Category: Remote Sensing and Sensors
Received: Sep. 27, 2020
Accepted: Nov. 12, 2020
Published Online: Jul. 14, 2021
The Author Email: Chunhui Wang (xjtuchwang@foxmail.com)