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Dual Domain Infrared Targeting: Enhancing Identification & Awareness

Explore the advantages of using two-color infrared imaging for improved target detection and battlefield awareness. Learn about modulation domain signal processing and why tracking in this domain is beneficial. This system concept offers enhanced clutter rejection and better situational awareness. Dual domain tracking examples and the correlation function in the modulation domain are discussed.

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Dual Domain Infrared Targeting: Enhancing Identification & Awareness

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  1. One & Two-Color Infrared Targeting Joseph P. Havlicek School of Electrical and Computer Engineering University of Oklahoma

  2. Modulation Domain Signal Processing

  3. Why Track in the Modulation Domain? Targets that appear invisible to a machine in the image can become easy for the machine to see in the modulation domain.

  4. Overview of System Concept

  5. Dual Domain Tracking Example Pixel Domain Fixed Template Pixel Domain Updated Template Dropped Frames: 131 RMS error (pixels): 32.8 % Frames Tracked: 34.5 Dropped Frames: 141 RMS error (pixels): 32.9 % Frames Tracked: 2.7 The Modulation Domain Correlation Function Dual Domain Dropped Frames: 6 RMS error (pixels): 2.7 % Frames Tracked: 97.0

  6. Multiple Target Tracking

  7. On-the-Fly Template Resizing

  8. Tracking Human Gait Pixel Domain Fixed Template Pixel Domain Updated Template The Modulation Domain Correlation Function Dual Domain

  9. Two-Color IR Imaging Advantages • Enhanced target identification and clutter rejection: • Thermal signatures of targets, clutter, and backgrounds are typically a strong function of wavelength. • Even if the target and clutter signatures are almost identical in each spectral band (color) individually, they will generally exhibit different correlation between bands. • Improved battlefield situational awareness: • IR atmospheric transmission is also a strong function of wavelength. • Exhaust plumes and ordnance flashes are generally more prominent in the 3 – 5 m band, whereas transmission through fog and smoke is generally better in the 8 – 12 m band. • MWIR/LWIR data fusion can produce imagery having the best characteristics of both bands.

  10. MWIR/LWIR Data Fusion

  11. Clutter Rejection by Spectral Filter

  12. Concluding Remarks

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