Abstract
This study investigates the novel application of hyperspectral imaging techniques to SolarBlack, a thermal control coating developed for the European Space Agency. A range of hyperspectral imaging techniques are presented as a novel method of surface characterization for thermal control coatings, and potentially a wide range of other materials. Spatially resolved Fourier-transform infrared imaging and visible/near-infrared imaging in combination with principal component analysis of the SolarBlack thermal control coating confirmed the presence of periodic variations in reflectance and thermal emittance. This periodicity is due to the rastering nature of the coating process.
Original language | English |
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Pages (from-to) | 273-277 |
Number of pages | 5 |
Journal | Materials Letters |
Volume | 254 |
DOIs | |
Publication status | Published - 1 Nov 2019 |
Externally published | Yes |
Keywords
- Chemical imaging
- Hyperspectral imaging
- Machine learning
- Pattern recognition
- Surface coating
- Thermal control coating