The active thermal non-destructive testing and evaluation technique plays a vital role in health monitoring of various solid materials. Present manuscript demonstrates the applicability of pulse compression favorable Digitized version of linear Frequency Modulated Thermal Wave Imaging (DFMTWI) approach to identify flaws having different geometrical shapes in a Glass Fibre Reinforced Polymer (GFRP) sample. A novel Thermal Image Correlation (TIC) data-processing approach is proposed to obtain the isothermal patterns from the reconstructed pulse compressed data through matched filter scheme to identify sub-surface anomalies. The detection capabilities of the presented approach are compared on various adopted data processing approaches.

主动热无损检测与评价技术在各种固体材料的健康监测中发挥着至关重要的作用。本手稿证明了脉冲压缩有利的数字化版本的线性调频热波成像 (DFMTWI) 方法的适用性，以识别玻璃纤维增​​强聚合物 (GFRP) 样品中具有不同几何形状的缺陷。提出了一种新的热图像相关 (TIC) 数据处理方法，通过匹配滤波器方案从重建的脉冲压缩数据中获取等温模式，以识别地下异常。所提出的方法的检测能力在各种采用的数据处理方法上进行了比较。