volume 43 issue 3 pages 932-960

Laser point cloud registration method based on iterative closest point improved by Gaussian mixture model considering corner features

Yongzhi Wang 1
Tao Zhou 1
Hui Li 1
Hongdong Li 1
Wenlong Tu 1
Jing Xi 1
Lixia Liao 2
2
 
Department of Surveying and EngineeringZhejiang Land Surveying and Planning Co. Ltd, Hangzhou, People’s Republic of China
Publication typeJournal Article
Publication date2022-02-01
scimago Q2
wos Q3
SJR0.676
CiteScore5.9
Impact factor2.6
ISSN01431161, 13665901
General Earth and Planetary Sciences
Found 
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GOST |
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GOST Copy
Wang Y. et al. Laser point cloud registration method based on iterative closest point improved by Gaussian mixture model considering corner features // International Journal of Remote Sensing. 2022. Vol. 43. No. 3. pp. 932-960.
GOST all authors (up to 50) Copy
Wang Y., Zhou T., Li H., Li H., Tu W., Xi J., Liao L. Laser point cloud registration method based on iterative closest point improved by Gaussian mixture model considering corner features // International Journal of Remote Sensing. 2022. Vol. 43. No. 3. pp. 932-960.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1080/01431161.2021.2022242
UR - https://doi.org/10.1080/01431161.2021.2022242
TI - Laser point cloud registration method based on iterative closest point improved by Gaussian mixture model considering corner features
T2 - International Journal of Remote Sensing
AU - Wang, Yongzhi
AU - Zhou, Tao
AU - Li, Hui
AU - Li, Hongdong
AU - Tu, Wenlong
AU - Xi, Jing
AU - Liao, Lixia
PY - 2022
DA - 2022/02/01
PB - Taylor & Francis
SP - 932-960
IS - 3
VL - 43
SN - 0143-1161
SN - 1366-5901
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Wang,
author = {Yongzhi Wang and Tao Zhou and Hui Li and Hongdong Li and Wenlong Tu and Jing Xi and Lixia Liao},
title = {Laser point cloud registration method based on iterative closest point improved by Gaussian mixture model considering corner features},
journal = {International Journal of Remote Sensing},
year = {2022},
volume = {43},
publisher = {Taylor & Francis},
month = {feb},
url = {https://doi.org/10.1080/01431161.2021.2022242},
number = {3},
pages = {932--960},
doi = {10.1080/01431161.2021.2022242}
}
MLA
Cite this
MLA Copy
Wang, Yongzhi, et al. “Laser point cloud registration method based on iterative closest point improved by Gaussian mixture model considering corner features.” International Journal of Remote Sensing, vol. 43, no. 3, Feb. 2022, pp. 932-960. https://doi.org/10.1080/01431161.2021.2022242.