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High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network
Semantic segmentation of high-resolution aerial images is of great importance in certain fields, but the increasing spatial resolution brings large intra-class variance and small inter-class differences that can lead to classification ambiguities. Based on high-level contextual features, the deep co...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263496/ https://www.ncbi.nlm.nih.gov/pubmed/30400591 http://dx.doi.org/10.3390/s18113774 |