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| 2022, Vol. 59(6): 24-34 DOI: | ||
| Crack Identification of Tunnel Lining Based on Neural Network and Edge Correction | ||
| (1. Shanghai Tongyan Civil Engineering Science & Technology Co., Ltd., Shanghai 200092; 2. Shanghai Research Center for Underground Infrastructure Safety Inspection and Maintenance Equipment Engineering Technology, Shanghai 200092; 3. Jinan Rail Transit Group Co., Ltd., Jinan 250014; 4. Shandong Provincial Key Laboratory of Intelligent Rail Transit Informatization and Equipment, Jinan 250014) | ||
| Received null Revised null | ||
| Supporting info | ||
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