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High-Resolution U-Net: Preserving Image Details for Cultivated Land Extraction
Accurate and efficient extraction of cultivated land data is of great significance for agricultural resource monitoring and national food security. Deep-learning-based classification of remote-sensing images overcomes the two difficulties of traditional learning methods (e.g., support vector machine...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436155/ https://www.ncbi.nlm.nih.gov/pubmed/32707825 http://dx.doi.org/10.3390/s20154064 |