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Decision tree-based subsurface analysis using Barker coded thermal wave imaging
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DOI：10.1016/j.infrared.2020.103380.png)
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Non-stationary thermal wave imaging is emerging as a reliable alternative procedure due to its depth scanning and defect detection capabilities to assess the integrity of the materials. This investigation proposes a Decision Tree based anomaly detection in Barker Coded Thermal Wave Imaging (BCTWI). It facilitates automatic detection and visualization of anomalies with better spatial accuracy in a single view to help even an inexperienced personnel to easily assess subsurface features.
Keyword:
Decision tree
Thermal wave imaging
Barker coded thermal wave imaging
Non-stationary thermal wave imaging
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