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Target discrimination in the extended shortwave infrared band (2 to 2.5 μm) compared with visible, near-infrared, and SWIR in degraded visual environments

Publication ,  Journal Article
Wiley, L; Follansbee, J; Leslie, P; Furxhi, O; Pimpinella, R; Brady, D; Driggers, R
Published in: Optical Engineering
November 1, 2022

Long-range target identification is well studied in the visible (Vis) and near-infrared (NIR) bands and more recently in the shortwave infrared (SWIR). The longer wavelength of SWIR (1 to 1.7 μm) improves target detection for both long ranges and under challenging atmospheric conditions because it is less limited by scattering and absorption in the atmosphere. For these reasons, SWIR sensors are proliferating on military platforms. The extended shortwave infrared (eSWIR) band spanning from 2 to 2.5 μm is not typically limited by diffraction, and as a result, the band benefits target acquisition both at long ranges and for degraded visual environments (DVEs). Theoretical and experimental data compare eSWIR with Vis, NIR, and SWIR for atmospheric transmission, reflectivity, illumination, and sensor resolution and sensitivity. The experimental setup includes two testbeds, each with four cameras. The first is a wide field of view (FOV) testbed matching FOV at 20 deg for each camera. The second is a narrow FOV telescope testbed to match instantaneous FOV for consistent resolution across all four bands at long ranges. Both the theory and experiment demonstrate advantages of using eSWIR for long-range target identification under DVEs.

Duke Scholars

Published In

Optical Engineering

DOI

EISSN

1560-2303

ISSN

0091-3286

Publication Date

November 1, 2022

Volume

61

Issue

11

Related Subject Headings

  • Optics
  • 5102 Atomic, molecular and optical physics
  • 4603 Computer vision and multimedia computation
  • 4008 Electrical engineering
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
  • 0205 Optical Physics
 

Citation

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Wiley, L., Follansbee, J., Leslie, P., Furxhi, O., Pimpinella, R., Brady, D., & Driggers, R. (2022). Target discrimination in the extended shortwave infrared band (2 to 2.5 μm) compared with visible, near-infrared, and SWIR in degraded visual environments. Optical Engineering, 61(11). https://doi.org/10.1117/1.OE.61.11.113103
Wiley, L., J. Follansbee, P. Leslie, O. Furxhi, R. Pimpinella, D. Brady, and R. Driggers. “Target discrimination in the extended shortwave infrared band (2 to 2.5 μm) compared with visible, near-infrared, and SWIR in degraded visual environments.” Optical Engineering 61, no. 11 (November 1, 2022). https://doi.org/10.1117/1.OE.61.11.113103.
Wiley L, Follansbee J, Leslie P, Furxhi O, Pimpinella R, Brady D, et al. Target discrimination in the extended shortwave infrared band (2 to 2.5 μm) compared with visible, near-infrared, and SWIR in degraded visual environments. Optical Engineering. 2022 Nov 1;61(11).
Wiley, L., et al. “Target discrimination in the extended shortwave infrared band (2 to 2.5 μm) compared with visible, near-infrared, and SWIR in degraded visual environments.” Optical Engineering, vol. 61, no. 11, Nov. 2022. Scopus, doi:10.1117/1.OE.61.11.113103.
Wiley L, Follansbee J, Leslie P, Furxhi O, Pimpinella R, Brady D, Driggers R. Target discrimination in the extended shortwave infrared band (2 to 2.5 μm) compared with visible, near-infrared, and SWIR in degraded visual environments. Optical Engineering. 2022 Nov 1;61(11).
Journal cover image

Published In

Optical Engineering

DOI

EISSN

1560-2303

ISSN

0091-3286

Publication Date

November 1, 2022

Volume

61

Issue

11

Related Subject Headings

  • Optics
  • 5102 Atomic, molecular and optical physics
  • 4603 Computer vision and multimedia computation
  • 4008 Electrical engineering
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
  • 0205 Optical Physics