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...

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Detalles Bibliográficos
Autores principales: Shan, Bowei, Fang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517028/
https://www.ncbi.nlm.nih.gov/pubmed/33286307
http://dx.doi.org/10.3390/e22050535

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