Improvement of automatic building region extraction based on deep neural network segmentation
ABSTRACTThis work seeks to improve the accuracy of building region extraction, in which each pixel in a scenery image is determined to be part of a building or part of the background. Specifically, UNet++ and MANet, which are state-of-the-art deep neural networks (DNNs) for segmentation, were applie...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Taylor & Francis Group
2023-10-01
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| coleção: | Journal of Information and Telecommunication |
| Assuntos: | |
| Acesso em linha: | https://www.tandfonline.com/doi/10.1080/24751839.2023.2197276 |
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