Abstract
Active thermographic studies using non stationary coded thermal wave imaging methods facilitate deeper sub surface analysis with better depth resolution even with relatively low peak powers. They exhibit a variation in detection capability due to their diversity in shape and frequency content etc., In order to compare the ability of these schemes in spite of their diversity, a common feature based analysis has been adopted in this contribution. It emphasizes the concept of matched energy among various processing methods used for the subsurface analysis of Barker coded and Digitized Frequency Modulated Thermal Wave Imaging methods. Experimentation has been carried out to find the detectability of different schemes and quantified in terms of signal to noise ratio of subsurface anomalies.
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