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Remote Sensing
Volume 14
Issue 10
10.3390/rs14102413
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Correction to Remote Sens. 2021, 13(17), 3474.
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Correction

Correction: Li et al. Automatic Point Cloud Registration for Large Outdoor Scenes Using a Priori Semantic Information. Remote Sens. 2021, 13, 3474

by
Remote Sensing Editorial Office
MDPI Branch Office, Beijing 101100, China
Remote Sens. 2022, 14(10), 2413; https://doi.org/10.3390/rs14102413
Submission received: 24 November 2021 / Accepted: 6 May 2022 / Published: 18 May 2022
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Versions Notes

Error in Figure

In the original article [1], there was a mistake in Figure 5 as published. The positions of subfigures (a) and (e) are reversed. This is because of a layout error. The correct figure appears below. The editorial office apologizes for any inconvenience caused and state that the scientific conclusions are unaffected. The original article has been updated.
Remotesensing 14 02413 g005a 550Remotesensing 14 02413 g005b 550
Figure 5. Registration results of each algorithm for campus scenes.
Figure 5. Registration results of each algorithm for campus scenes.
Remotesensing 14 02413 g005aRemotesensing 14 02413 g005b

Reference

  1. Li, J.; Huang, S.; Cui, H.; Ma, Y.; Chen, X. Automatic Point Cloud Registration for Large Outdoor Scenes Using a Priori Semantic Information. Remote Sens. 2021, 13, 3474. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Remote Sensing Editorial Office. Correction: Li et al. Automatic Point Cloud Registration for Large Outdoor Scenes Using a Priori Semantic Information. Remote Sens. 2021, 13, 3474. Remote Sens. 2022, 14, 2413. https://doi.org/10.3390/rs14102413

AMA Style

Remote Sensing Editorial Office. Correction: Li et al. Automatic Point Cloud Registration for Large Outdoor Scenes Using a Priori Semantic Information. Remote Sens. 2021, 13, 3474. Remote Sensing. 2022; 14(10):2413. https://doi.org/10.3390/rs14102413

Chicago/Turabian Style

Remote Sensing Editorial Office. 2022. "Correction: Li et al. Automatic Point Cloud Registration for Large Outdoor Scenes Using a Priori Semantic Information. Remote Sens. 2021, 13, 3474" Remote Sensing 14, no. 10: 2413. https://doi.org/10.3390/rs14102413

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