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Building segmentation through a gated graph convolutional neural network with deep structured feature embedding
Automatic building extraction from optical imagery remains a challenge due to, for example, the complexity of building shapes. Semantic segmentation is an efficient approach for this task. The latest development in deep convolutional neural networks (DCNNs) has made accurate pixel-level classificati...
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| Publicado en: | ISPRS J Photogramm Remote Sens |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6946440/ https://ncbi.nlm.nih.gov/pubmed/31929682 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isprsjprs.2019.11.004 |
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