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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...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6263496/ https://ncbi.nlm.nih.gov/pubmed/30400591 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18113774 |
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