載入...
Automatic Tunnel Crack Detection Based on U-Net and a Convolutional Neural Network with Alternately Updated Clique
Regular crack inspection of tunnels is essential to guarantee their safe operation. At present, the manual detection method is time-consuming, subjective and even dangerous, while the automatic detection method is relatively inaccurate. Detecting tunnel cracks is a challenging task since cracks are...
Na minha lista:
| 發表在: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2020
|
| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7038519/ https://ncbi.nlm.nih.gov/pubmed/32012919 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20030717 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|