HSI
HSI – HyperSpectral Imaging
HSI – HyperSpectral Imaging is a technique involving the collection of data from frequencies across the electromagnetic spectrum. This multi-frequency approach provides additional detection or evaluative capabilities, which may not be available from using a single frequency. Defects present a change (ie an indication) in the spectral response of captured data. In non-destructive testing (NDT), HSI is used for the detection of defects in various materials, including composites. It has been used in the non-destructive inspection of artwork and for authenticity verification. HSI has numerous applications in different industries. It is applied to detect defects and foreign materials in food, it is deployed by satellites for surveying global pollution levels and in agriculture it is used for the detection and diagnosis of crop disease and nutrient deficiency with remote sensing provided via drones. This list is non-exhaustive due to the versatility of the technique, with hyperspectral cameras providing wide coverage for quick inspections.
For more information on HSI see:
For more information on HSI see:
- Y Yan, J Ren, H Zhao, J F C Windmill, W Ijomah, J de Wit and J von Freeden, ‘Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project’, 2021. Available at: https://arxiv.org/abs/2111.03443
- D Dai, T Jiang, W Lu, X Shen, R Xiu and J Zhang, ‘Non-destructive detection for egg freshness based on hyperspectral scattering image combined with ensemble learning’, Sensors, Vol 20, No 19, 2020. Available at: https://doi.org/10.3390/s20195484
- L Lobo, ‘Optical condition monitoring’, In: A Hope and D Whittle (eds), An Introduction to Condition Monitoring and Diagnostic Technologies, Chapter 9, pp 195-226, 2020.
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