Semi-Supervised Semantic Segmentation of Remote Sensing Images Based on Dual Cross-Entropy Consistency

Semi-Supervised Semantic Segmentation of Remote Sensing Images Based on Dual Cross-Entropy Consistency

Semantic segmentation is a growing topic in high-resolution remote sensing image processing. The information in remote sensing images is complex, and the effectiveness of most remote sensing image semantic segmentation methods depends on the number of labels; however, labeling images requires signif...

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Bibliographic Details
Main Authors: Mengtian Cui, Kai Li, Yulan Li, Dany Kamuhanda, Claudio J. Tessone
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Entropy
Subjects:
cross-entropy consistency
information entropy
semi-supervised
channel attention mechanism
remote sensing image
Online Access:https://www.mdpi.com/1099-4300/25/4/681

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