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Correction

Correction: Wang et al. ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images. Remote Sens. 2022, 14, 5258

1
School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
2
CETC Key Laboratory of Aerospace Information Applications, Shijiazhuang 050081, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2023, 15(12), 3022; https://doi.org/10.3390/rs15123022
Submission received: 10 March 2023 / Accepted: 30 May 2023 / Published: 9 June 2023
(This article belongs to the Topic Advances in Environmental Remote Sensing)

Figure Legend

In the original publication [1], there was a mistake in “Figure 4. Diagram of the fusion evaluation rules for the composite neural network.” as published. The title content in Figure 4 is the same as that in Figure 5. The corrected caption of Figure 4 appears below. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
Figure 4. Diagram of the comparison between ShuffleNet V2 and ShuffleCloudNet network structure.

Reference

  1. Wang, G.; Lu, Z.; Wang, P. ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images. Remote Sens. 2022, 14, 5258. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Wang, G.; Lu, Z.; Wang, P. Correction: Wang et al. ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images. Remote Sens. 2022, 14, 5258. Remote Sens. 2023, 15, 3022. https://doi.org/10.3390/rs15123022

AMA Style

Wang G, Lu Z, Wang P. Correction: Wang et al. ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images. Remote Sens. 2022, 14, 5258. Remote Sensing. 2023; 15(12):3022. https://doi.org/10.3390/rs15123022

Chicago/Turabian Style

Wang, Gang, Zhiying Lu, and Ping Wang. 2023. "Correction: Wang et al. ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images. Remote Sens. 2022, 14, 5258" Remote Sensing 15, no. 12: 3022. https://doi.org/10.3390/rs15123022

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