Laser-based long-wave-infrared hyperspectral imaging system for the standoff detection of trace surface chemicals

Abstract. A trace chemical detector is described that combines external-cavity quantum cascade lasers and a mercury cadmium telluride camera to capture hyperspectral images of the diffuse reflectance from a target surface in the long-wave infrared. The system is able to generate individual hypercubes in <0.1  s. When raster scanning the laser beam over the target surface, areal coverage rates of >60  cm2  /  s have been achieved. Results are presented for standoff distances ranging from 0.1 to 25 m. Hyperspectral images generated by the system are analyzed for spectral features that indicate the presence of trace surface contaminants. This approach has been found to be highly capable of detecting trace chemical residues on a wide variety of surfaces, and we present a collection of detection results to demonstrate the capabilities of this technology. Examples include the detection of 10  μg of saccharin powder on a wide range of substrates, 0.2  μg of an explosive residue on a computer keyboard, residual pharmaceuticals within a plastic baggie, and a contaminated fingerprint on cell phone case.

[1]  L. A. Skvortsov,et al.  Application of laser photothermal spectroscopy for standoff detection of trace explosive residues on surfaces , 2010 .

[2]  Federico Capasso,et al.  Active hyperspectral imaging using a quantum cascade laser (QCL) array and digital-pixel focal plane array (DFPA) camera. , 2014, Optics express.

[3]  Anish K. Goyal,et al.  Mid-infrared reflection signatures for trace chemicals on surfaces , 2018, Defense + Security.

[4]  N. S. Higdon,et al.  Expanding applications for surface-contaminant sensing using the laser interrogation of surface agents (LISA) technique , 2004, SPIE Optics East.

[5]  Steven D. Christesen,et al.  UV Raman spectra and cross sections of chemical agents , 2006, SPIE Defense + Commercial Sensing.

[6]  Rolf Aidam,et al.  Infrared hyperspectral standoff detection of explosives , 2013, Defense, Security, and Sensing.

[7]  Jason A. Guicheteau,et al.  Long range standoff detection of chemical and explosive hazards on surfaces , 2009, Security + Defence.

[8]  Timothy J. Johnson,et al.  Challenges of infrared reflective spectroscopy of solid-phase explosives and chemicals on surfaces , 2012, Defense + Commercial Sensing.

[9]  Richard Maulini,et al.  High-speed mid-infrared hyperspectral imaging using quantum cascade lasers , 2017, Defense + Security.

[10]  Chris Dyer,et al.  Active hyperspectral imaging system for the detection of liquids , 2008, SPIE Defense + Commercial Sensing.

[11]  Chase A. Munson,et al.  Laser-induced breakdown spectroscopy for detection of explosives residues: a review of recent advances, challenges, and future prospects , 2009, Analytical and bioanalytical chemistry.

[12]  Timothy J. Johnson,et al.  INFRARED SPECTRAL SIGNATURES: CREATION OF REFERENCE DATA FOR VAPORS AND LIQUIDS , 2008 .

[13]  R. A. McGill,et al.  Infrared backscatter imaging spectroscopy for standoff detection of trace explosives , 2019, Defense + Commercial Sensing.

[14]  R. A. McGill,et al.  Synthetic models for infrared reflectance signatures of micro-particle traces on surfaces , 2019, Defense + Commercial Sensing.

[15]  Gil Raz,et al.  Optimal sensor control for fast target detection in hyperspectral imagery , 2018, Defense + Security.

[16]  Paul M. Pellegrino,et al.  Laser-based optical detection of explosives / , 2015 .

[17]  Samuel P. Hernández-Rivera,et al.  Angular dependence of source-target-detector in active mode standoff infrared detection , 2013, Defense, Security, and Sensing.

[18]  O. Heavens Thin-film Optical Filters , 1986 .

[19]  Martin Chamberland,et al.  Chemical agent detection and identification with a hyperspectral imaging infrared sensor , 2007, SPIE Security + Defence.

[20]  Tanya L. Myers,et al.  Reflectance from solids and solid particles: the need for the optical constants n and k and far-IR measurement challenges , 2018, Optical Engineering + Applications.

[21]  Michael DiLiberto,et al.  Active infrared multispectral imaging of chemicals on surfaces , 2011, Defense + Commercial Sensing.

[22]  William J. Marinelli,et al.  AIRIS multispectral imaging chemical sensor , 1998, Defense, Security, and Sensing.

[23]  Kristin DeWitt,et al.  Advances in active infrared spectroscopy for trace chemical detection , 2019, Defense + Commercial Sensing.

[24]  Jeff Byers,et al.  Infrared photothermal imaging of trace explosives on relevant substrates , 2013, Defense, Security, and Sensing.

[25]  Bruce E. Bernacki,et al.  Infrared Spectroscopy of Explosives Residues: Measurement Techniques and Spectral Analysis , 2015 .

[26]  M. Phillips,et al.  Infrared hyperspectral imaging using a broadly tunable external cavity quantum cascade laser and microbolometer focal plane array. , 2008, Optics express.

[27]  Anish K. Goyal,et al.  High-speed and large-area scanning of surfaces for trace chemicals using wavelength-tunable quantum cascade lasers , 2018, Defense + Security.

[28]  K. H. Fung,et al.  Stand-off Detection of Chemicals by UV Raman Spectroscopy , 2000 .

[29]  Gil Raz,et al.  Mid-infrared hyperspectral simulator for laser-based detection of trace chemicals on surfaces , 2017, Defense + Security.

[30]  Yasuo Seto,et al.  Sensing technology for chemical-warfare agents and its evaluation using authentic agents , 2005 .

[31]  Daryoosh Vakhshoori,et al.  Standoff hyperspectral imaging of CWAs and explosives using eyesafe quantum cascade laser arrays , 2019, Defense + Commercial Sensing.

[32]  C. Patel,et al.  Standoff detection of explosive substances at distances of up to 150 m. , 2010, Applied optics.

[33]  R. Graham Cooks,et al.  Ambient desorption ionization mass spectrometry , 2008 .

[34]  James O. Jensen,et al.  Passive standoff detection of liquid surface contaminants: recent results with CATSI , 2004, SPIE Optics East.

[35]  Samuel P. Hernández-Rivera,et al.  Dependence of detection limits on angular alignment, substrate type and surface concentration in active mode standoff IR , 2013, Defense, Security, and Sensing.