High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network

Semantic segmentation of high-resolution aerial images is of great importance in certain fields, but the increasing spatial resolution brings large intra-class variance and small inter-class differences that can lead to classification ambiguities. Based on high-level contextual features, the deep co...

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Detalles Bibliográficos
Autores principales: Pan, Xuran, Gao, Lianru, Zhang, Bing, Yang, Fan, Liao, Wenzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263496/
https://www.ncbi.nlm.nih.gov/pubmed/30400591
http://dx.doi.org/10.3390/s18113774

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263496/
https://www.ncbi.nlm.nih.gov/pubmed/30400591
http://dx.doi.org/10.3390/s18113774

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