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Extracting Rectified Building Footprints from Traditional Orthophotos: A New Workflow
Deep learning techniques such as convolutional neural networks have largely improved the performance of building segmentation from remote sensing images. However, the images for building segmentation are often in the form of traditional orthophotos, where the relief displacement would cause non-negl...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749658/ https://www.ncbi.nlm.nih.gov/pubmed/35009755 http://dx.doi.org/10.3390/s22010207 |