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Structural Material Condition Assessment through Human-in-the-Loop Incremental Semisupervised Learning from Hyperspectral Images
Publisher: American Society of Civil Engineers
Abstract: Engineering materials in constructed systems in service exhibit complex patterns, including structural damage, environmental artifacts, and artificial anomalies. In recent years, machine vision methods have been extensively ...
Mobile Hyperspectral Imaging for Material Surface Damage Detection
Publisher: ASCE
Abstract: Many machine vision–based inspection methods aim to replace human-based inspection with an automated or highly efficient procedure. However, these machine-vision systems have not been endorsed entirely by civil engineers ...