Performance comparison of LWIR and MWIR systems for UAV-mounted targeting

The evaluation of infrared imaging systems for long-range targeting on small commercially available unmanned aerial vehicles (UAVs) requires careful consideration of trade-offs in sensitivity, resolution, and “size, weight, power, and cost” (SWaP-C) constraints. Uncooled LWIR microbolometers are lightweight and affordable but suffer from reduced sensitivity and longer integration times. Cooled LWIR sensors provide superior sensitivity and flexible integration times but often exceed SWaP-C limits due to cooling requirements. Currently, cooled MWIR sensors require less cooling than cooled LWIR sensors. Cooled MWIR sensors strike a balance between sensitivity, integration time, and SWaP, making them better for small drones. This study compares these possible UAV-feasible sensors, incorporating both theoretical performance models from NV-IPM and experimental validation through field testing. An additional trade study explores the SWaP-C efficiency of each sensor type, as well as the impacts of target temperature variation and pixel pitch on each sensor type. These findings provide a framework for optimizing UAV-mounted infrared targeting sensor selection for mission-specific requirements.

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Publication Details

Published
2025-05-30
DOI
https://doi.org/10.1117/12.3053297
Citations
1
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
4.99
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Performance comparison of LWIR and MWIR systems for UAV-mounted targeting

Patrick Leslie, Eddie L. Jacobs, Joseph D. Conroy, A. M. Hermann et al.
1 citations
Infrared Target Detection Methodologies
4.99
article

Performance comparison of LWIR and MWIR systems for UAV-mounted targeting

Patrick Leslie, Eddie L. Jacobs, Joseph D. Conroy, A. M. Hermann, Ronald G. Driggers
article en
1 citations

Abstract

The evaluation of infrared imaging systems for long-range targeting on small commercially available unmanned aerial vehicles (UAVs) requires careful consideration of trade-offs in sensitivity, resolution, and “size, weight, power, and cost” (SWaP-C) constraints. Uncooled LWIR microbolometers are lightweight and affordable but suffer from reduced sensitivity and longer integration times. Cooled LWIR sensors provide superior sensitivity and flexible integration times but often exceed SWaP-C limits due to cooling requirements. Currently, cooled MWIR sensors require less cooling than cooled LWIR sensors. Cooled MWIR sensors strike a balance between sensitivity, integration time, and SWaP, making them better for small drones. This study compares these possible UAV-feasible sensors, incorporating both theoretical performance models from NV-IPM and experimental validation through field testing. An additional trade study explores the SWaP-C efficiency of each sensor type, as well as the impacts of target temperature variation and pixel pitch on each sensor type. These findings provide a framework for optimizing UAV-mounted infrared targeting sensor selection for mission-specific requirements.

University of Arizona (US), DEVCOM Army Research Laboratory (US), United States Army Combat Capabilities Development Command (US), University of Memphis (US)
Affordable and clean energy
Openalex Percentile: Top 6%
Infrared Target Detection Methodologies
4.99
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Performance comparison of LWIR and MWIR systems for UAV-mounted targeting — Patrick Leslie, Eddie L. Jacobs, et al. · (2025) | TGRS Research Map | TGRS