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SCU-Net: Semantic Segmentation Network for Learning Channel Information on Remote Sensing Images
Extracting detailed information from remote sensing images is an important direction in semantic segmentation. Not only the amounts of parameters and calculations of the network model in the learning process but also the prediction effect after learning must be considered. This paper designs a new m...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9013575/ https://www.ncbi.nlm.nih.gov/pubmed/35440946 http://dx.doi.org/10.1155/2022/8469415 |