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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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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 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 |
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