Comparison of scene contrast temperature in mid-wave infrared and long-wave infrared

Jordan, Shane; Driggers, Ronald; Furxhi, Orges; Leslie, Patrick; Cavanaugh, Col; Renshaw, Kyle; Jacobs, Eddie

doi:10.1117/1.oe.62.11.113107

Opt. Eng.

2023

DOI: 10.1117/1.oe.62.11.113107

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Comparison of scene contrast temperature in mid-wave infrared and long-wave infrared

Shane Jordan,

Ronald Driggers,

Orges Furxhi

et al.

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2024

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Cited by 2 publications

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Integration of motion blur into the TTP metric for pilotage performance

Wade,

Leslie,

Watson

et al. 2024

Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXV

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Infrared pilotage sensors enhance pilots' situational awareness, aiding in obstacle avoidance and providing visibility during night flights or under degraded visual environments. Pilotage with a rotorcraft tends to be more difficult than with fixed-wingcraft as rotorcraft generally fly at a lower altitude, which increases the angular velocities of the ground below and other features nearby with respect to the pilotage sensor. This increase in the scene's angular velocity increases motion blur in the imagery. This increased blur due to integration time, or time constant, lowers the system's Modulation Transfer Function (MTF), thus reducing the Target Task Performance (TTP) metric. This lower TTP also corresponds to a decrease in the system's pilotage performance. There has not been a straightforward method for including motion blur in the degradation of the TTP metric for pilotage performance. In this study, data is collected from a helicopter from different perspectives, using wellcharacterized cameras to capture the two levels of motion blur in pilotage imagery from two different looking angles. The imagery and Inertial Measurement Unit (IMU) data is then used to calculate the amount of angular motion and jitter in milliradians, which is then used to calculate a new degraded MTF and TTP metric. The addition of motion blur into the TTP metric for pilotage is essential in accurately predicting and evaluating the pilotage performance of systems on platforms that are moving quickly and have significant sensor time constant blur.

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Integration of motion blur into the TTP metric for pilotage performance

Wade,

Leslie,

Watson

et al. 2024

Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXV

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Automated image-based range performance evaluation using TOD over natural backgrounds

Short

2024

Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXV

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The use of a synthetic observer model has shown promise for range performance analysis of novel imaging systems. This has many advantages over traditional analytical range models, chiefly stemming from the fact that it determines performance from (real or simulated) imagery directly, rather than from a pre-specified list of parameters. Our synthetic observer approach operates over a Triangle Orientation Discrimination (TOD) target and observer task, using a template correlator for target identification. The synthetic observer performance is taken as a proxy for human target identification performance, enabling expedient evaluation of image processing pipelines, sensor configurations, environmental conditions, etc. In prior work we have explored how the template-correlator-based synthetic observer performs on flat background, flat target imagery. In this work, we apply the same synthetic observer design to natural backgrounds. Performance is compared to that of human observers on the same perception task.

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Comparison of scene contrast temperature in mid-wave infrared and long-wave infrared

Cited by 2 publications

References 9 publications

Integration of motion blur into the TTP metric for pilotage performance

Integration of motion blur into the TTP metric for pilotage performance

Automated image-based range performance evaluation using TOD over natural backgrounds

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