Characterization Of Corrosion Products On Carbon Steel Using Hyperspectral Imaging In Short-Wave Infrared (SWIR)

Abstract

Corrosion can cause major damage to steel structures and if not monitored and controlled in time, it can result in complete failure of these structures. In situ corrosion monitoring has been challenging as most in-situ techniques require direct contact to the structures, are time consuming and risky. Hyperspectral (HS) cameras can help detecting surface chemical changes by collecting reflectance information outside the visible part of the electromagnetic spectrum. In recent years, low-weight, low-cost HS cameras have been developed that can be mounted on drones or robots for in-situ inspection. The aim of this study is to evaluate the potential of hyperspectral data in the Shortwave Infrared (SWIR, 1100-1700 nm) range for corrosion detection and characterization. For that, steel samples were immersed in water for different periods of time, resulting in the occurrence of different degrees and types of corrosion. The results demonstrate the potential of hyperspectral data in the SWIR range for the detection of different degrees and types of corrosion.