Hyperspectral imaging with unsupervised pattern recognition: A novel surface characterization technique for thermal control coatings

R. A. Ruane, K. A.J. Doherty, R. Dorrepaal, B. Twomey, A. Gowen, J. Flanagan, D. de Faoite, K. T. Stanton

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)273-277
Number of pages5
JournalMaterials Letters
Volume254
DOIs
Publication statusPublished - 1 Nov 2019
Externally publishedYes

Keywords

  • Chemical imaging
  • Hyperspectral imaging
  • Machine learning
  • Pattern recognition
  • Surface coating
  • Thermal control coating

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