Research on the Design and Automatic Recognition Algorithm of Subsidence Marks for Close-Range Photogrammetry

In China, traditional techniques for measuring structural subsidence cannot keep pace with the rapid development of critical national infrastructure such as the growing network of high-speed railways. Traditional monitoring methods using leveling instruments are inefficient and time consuming when m...

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Detalles Bibliográficos
Autores principales: Meng, Liyuan, Zou, Jingui, Liu, Guojian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014503/
https://www.ncbi.nlm.nih.gov/pubmed/31963863
http://dx.doi.org/10.3390/s20020544

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014503/
https://www.ncbi.nlm.nih.gov/pubmed/31963863
http://dx.doi.org/10.3390/s20020544

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