A Novel Multidimensional Statistics Denoising Algorithm Based on Gaussian Mixture Model for Photon-Counting LiDAR Data-Reference-Cited by-同舟云学术

A Novel Multidimensional Statistics Denoising Algorithm Based on Gaussian Mixture Model for Photon-Counting LiDAR Data

Published:2024 Issue: Volume:17 Page:13308-13323
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Chen Sitong¹^ORCID,Nie Sheng²^ORCID,Xi Xiaohuan²^ORCID,Xia Shaobo³^ORCID,Zhu Feng⁴^ORCID,Wang Cheng²,Zhu Xiaoxiao⁵

Affiliation:

1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences and the International Research Center of Big Data for Sustainable Development Goals, Beijing, China

2. International Research Center of Big Data for Sustainable Development Goals, Beijing, China

3. Department of Geomatics Engineering, Changsha University of Science and Technology, Changsha, China

4. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

5. State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Beijing, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Scientific Research Foundation of Hunan Provincial Education Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10602764.pdf?arnumber=10602764

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4. Point clouds denoising of photon counting LiDAR based on poisson distribution;Cao;Hydrographic Surveying Charting,2022