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A Cross Entropy Based Deep Neural Network Model for Road Extraction from Satellite Images
This paper proposes a deep convolutional neural network model with encoder-decoder architecture to extract road network from satellite images. We employ ResNet-18 and Atrous Spatial Pyramid Pooling technique to trade off between the extraction precision and running time. A modified cross entropy los...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517028/ https://www.ncbi.nlm.nih.gov/pubmed/33286307 http://dx.doi.org/10.3390/e22050535 |