Tomographic reconstruction of a jet engine exhaust plume using an infrared hyperspectral imager

Paulec, Mason; Marciniak, Michael A.; Gross, Kevin C.; Akers, Benjamin F.; Azevedo, David

doi:10.1117/1.oe.57.10.103103

Cited by 3 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Passive Fourier transform remote sensing technology enables the detection and identification of chemical pollutants in the air [1], and has been widely studied and applied in many fields such as the detection of hazardous clouds [2][3][4][5][6][7], the analysis of aircraft exhaust plume [8][9][10], pollution gas emissions over distance monitoring [11][12][13][14][15] and taking measurements of greenhouse gases [16][17][18]. The Fourier transform infrared spectrometer is mainly carried by a vehicle or fixed on a tripod which is slow to deploy or requires dedicated runways [19].…”

Section: Introductionmentioning

confidence: 99%

Unmanned Helicopter Airborne Fourier Transform Infrared Spectrometer Remote Sensing System for Hazardous Vapors Detection

Shi,

Huang,

Qian

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

The rapid development of unmanned aerial vehicles (UAVs) provides a new application mode for gas remote sensing. Compared with fixed observation and vehicle-mounted platforms, a Fourier transform infrared spectrometer (FTIR) integrated in the UAV can monitor chemical gases across a large area, can collect data from multiple angles in three-dimensional space, and can operate in contaminated or hazardous environments. The unmanned helicopter has a larger payload and longer endurance than the rotary-wing drone, which relaxes the weight, size and power consumption limitations of the spectrometer. A FTIR remote sensing system integrated in an unmanned helicopter was developed. In order to solve the data acquisition and analysis problem caused by vibration and attitude instability of the unmanned helicopter, a dual-channel parallel oscillating mirror was designed to improve the stability of the interferometer module, and a robust principal component analysis algorithm based on kernel function was used to separate background spectrum and gas features. The flight experiment of sulfur hexafluoride gas detection was carried out. The results show that the system operates stably and can collect and identify the target spectrum in real time under the motion and hovering modes of an unmanned helicopter, which has broad application prospects.

show abstract