ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images
The occlusion of cloud layers affects the accurate acquisition of ground object information and causes a large amount of useless remote-sensing data transmission and processing, wasting storage, as well as computing resources. Therefore, in this paper, we designed a lightweight composite neural netw...
Main Authors: | Gang Wang, Zhiying Lu, Ping Wang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/20/5258 |
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Correction: Wang et al. ShuffleCloudNet: A Lightweight Composite Neural Network-Based Method for Cloud Computation in Remote-Sensing Images. <i>Remote Sens.</i> 2022, <i>14</i>, 5258
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