Semi-supervised learning for topographic map analysis over time: a study of bridge segmentation

Geographical research using historical maps has progressed considerably as the digitalization of topological maps across years provides valuable data and the advancement of AI machine learning models provides powerful analytic tools. Nevertheless, analysis of historical maps based on supervised lear...

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Detalles Bibliográficos
Autores principales: Wong, Cheng-Shih, Liao, Hsiung-Ming, Tsai, Richard Tzong-Han, Chang, Ming-Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643415/
https://www.ncbi.nlm.nih.gov/pubmed/36348081
http://dx.doi.org/10.1038/s41598-022-23364-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643415/
https://www.ncbi.nlm.nih.gov/pubmed/36348081
http://dx.doi.org/10.1038/s41598-022-23364-w

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