ICESat-2 single photon laser point cloud denoising algorithm based on improved DBSCAN clustering

The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) has great potential for development due to its advantages of the use of multiple beams, low energy consumption, high repetition frequency, and high measurement sensitivity. However, the weak photon signal emitted by the photon counting lidar...

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Veröffentlicht in:	Earth, planets, and space Jg. 76; H. 1; S. 128 - 16
Hauptverfasser:	Wang, Dong, Yu, Jiachen, Liu, Fengying, Li, Qinghua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024 Springer Springer Nature B.V SpringerOpen
Schlagworte:	6. Geodesy Algorithms Analysis Background noise Cluster analysis Clustering DBSCAN Digital elevation models Distance statistics Earth and Environmental Science Earth Sciences Elevation Energy consumption Geology Geophysics/Geodesy ICESat-2 Laser altimetry Laser applications Lasers Lidar Mountain regions Mountainous areas Mountains Noise measurement Noise reduction Noise sensitivity Photons Point cloud denoising Random noise theory China DBSCAN ICESat-2 Distance statistics Laser altimetry Point cloud denoising
ISSN:	1880-5981, 1343-8832, 1880-5981
Online-Zugang:	Volltext
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