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Remote Sensing
  • Correction
  • Open Access

9 June 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

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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.
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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