ロード中...

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...

詳細記述

保存先:
書誌詳細
出版年:Sensors (Basel)
主要な著者: Meng, Liyuan, Zou, Jingui, Liu, Guojian
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7014503/
https://ncbi.nlm.nih.gov/pubmed/31963863
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20020544
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!