Oil consumption for jet engines and turbines and its adverse environmental and economic impacts can be mitigated through the application of more advanced technologies. In this paper, hyperspectralimaging coupled with novel data processing techniques were used to analyze the turbulent exhaust plume from a small turbojet engine. Spatial maps of brightness temperature and estimates of turbulence - induced temperature distribution are presented.
Hyperspectral infrared imagery coupled with digital image processing promise to substantially improve jet engines and turbines standoff and non-invasive measurements. This approach could help getting better jet engines and turbines designs resulting on a reduction of fuel consumption and a positive environmental impact.