Details

Autor(en) / Beteiligte

• Hou, Xiaxia
• Song, Shalei
• Ran, Yanhong
• Chen, Yuxuan
• Chen, Zhenwei
• Wang, Binhui
• Guo, Long

Titel

Multichannel Weak Signal Extraction Based on Multispectral LiDAR

Ist Teil von

• IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2024

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• The information extracted from waveform data of full-waveform light detection and ranging (LiDAR) has been widely used in applications such as 3D urban modeling, target recognition, and classification However, the presence of weak signals is inevitable in LiDAR systems. To enhance its effective detection capability and extraction accuracy, we propose a multispectral LiDAR (MSL) weak signals extraction (MSL-WSE) method. The measurement data from our MSL system were used to evaluate the performance of the proposed method. The correlation coefficient (R 2 ), root mean square error (RMSE) and effective extraction rate show that the MSL-WSE method accurately detected and extracted the waveform parameters of weak echo signals, providing the more realistic and fine-grained true color 3D point cloud.