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Sara Shahsavarani1, Fernando Lopez2, Clemente Ibarra-Castanedo1
1Computer Vision and Systems Laboratory (CVSL), Department of Electrical and Computer Engineering, Faculty of Science and Engineering, Université Laval, Quebec City, QC G1V 0A6, Canada.
本研究引入了一种用于基础设施非破坏性评估 (NDE) 的新型红外和可见图像记录方法. 它通过融合互补数据来增强缺陷可视化,以精确地检测表面和地下缺陷.
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