Full-Waveform LiDAR Decomposition Method Using AICC Integrated Adaptive Noise Threshold Estimation

Sai Cheng; Mei Zhou; Qiangqiang Yao; Jinhu Wang; Chuncheng Zhou; Geer Teng; Chuanrong Li

doi:10.3788/AOS202242.1228003

Acta Optica Sinica, Volume. 42, Issue 12, 1228003(2022)

Full-Waveform LiDAR Decomposition Method Using AICC Integrated Adaptive Noise Threshold Estimation

Sai Cheng, Mei Zhou^*, Qiangqiang Yao, Jinhu Wang, Chuncheng Zhou, Geer Teng, and Chuanrong Li

Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

show less

Abstract Get PDF(in Chinese)

References(1)

[2] Wang J H, Li C R, Zhou M. Analysis of airborne full-waveform LiDAR data for supervised point cloud classification[J]. Remote Sensing Information, 28, 21-27(2013).

Tools

Get Citation

Copy Citation Text

Sai Cheng, Mei Zhou, Qiangqiang Yao, Jinhu Wang, Chuncheng Zhou, Geer Teng, Chuanrong Li. Full-Waveform LiDAR Decomposition Method Using AICC Integrated Adaptive Noise Threshold Estimation[J]. Acta Optica Sinica, 2022, 42(12): 1228003

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Remote Sensing and Sensors

Received: Nov. 30, 2021

Accepted: Jan. 27, 2022

Published Online: Jun. 7, 2022

The Author Email: Zhou Mei (zhoumei@aoe.ac.cn)

DOI:10.3788/AOS202242.1228003

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology