Urban Area Detection in Very High Resolution Remote Sensing Images Using Deep Convolutional Neural Networks

Detecting urban areas from very high resolution (VHR) remote sensing images plays an important role in the field of Earth observation. The recently-developed deep convolutional neural networks (DCNNs), which can extract rich features from training data automatically, have achieved outstanding perfor...

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Detalles Bibliográficos
Autores principales: Tian, Tian, Li, Chang, Xu, Jinkang, Ma, Jiayi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876601/
https://www.ncbi.nlm.nih.gov/pubmed/29562651
http://dx.doi.org/10.3390/s18030904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876601/
https://www.ncbi.nlm.nih.gov/pubmed/29562651
http://dx.doi.org/10.3390/s18030904

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