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2025, Vol. 62(4): 100-110 DOI: | ||
Improved UNet Model-based Image Segmentation for Tunnel Seepage Defects under Low-light Conditions | ||
(1. Poly Changda Engineering Co. Ltd., Guangzhou 510640; 2. Henan Qinyi Expressway Co. Ltd., Zhengzhou 450003; 3. School of Civil Engineering and Environment, Zhengzhou University of Aeronautics, Zhengzhou 450046; 4. College of Geosciences and Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045) | ||
Received null Revised null | ||
Supporting info | ||
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