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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Detalles Bibliográficos
Autores principales: Cui, Mengtian, Li, Kai, Li, Yulan, Kamuhanda, Dany, Tessone, Claudio J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138059/
https://www.ncbi.nlm.nih.gov/pubmed/37190469
http://dx.doi.org/10.3390/e25040681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138059/
https://www.ncbi.nlm.nih.gov/pubmed/37190469
http://dx.doi.org/10.3390/e25040681

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