Evaluation of fused imagery using eye movement-based measures of perceptual processing


  1. Glaholt, M.G.
  2. Sim, G.
  3. Laou, P.
  4. Roy, S.
Corporate Authors
Defence Research and Development Canada, Toronto Research Centre , Toronto ON (CAN)
Human performance measures were used to evaluate the perceptual processing efficiency of infrared and fused-infrared images. In two experiments, eye movements were recorded while subjects searched for and identified human targets in forested scenes presented on a computer monitor. The scenes were photographed simultaneously using short-wave infrared (SWIR), long-wave infrared (LWIR), and visible (VIS) spectrum cameras. Fused images were created through two-way combinations of these single-band images. In Experiment 1 the single band sensors were contrasted with a simple average fusion scheme (SWIR/LWIR). Analysis of subjects’ eye movements revealed differences between sensors in measures of central processing (gaze duration, response accuracy) and peripheral selection (detection interval, saccade amplitude). In Experiment 2 this methodology was applied to compare three two-way combinations of sensors (SWIR/LWIR, SWIR/VIS, VIS/LWIR), produced by state-of-the-art fusion methods. Peripheral selection for fused images tended to exhibit a compromise between the performance levels of component sensor images, while measures of central processing showed evidence that fused images matched or exceeded the performance level of component single-band sensor images. Stimulus analysis was conducted to link measures of central and peripheral processing efficiency to image characteristics (e.g. target contrast, target-background contrast), and these image characteristics were able to accoun
Infrared imagery;sensor fusion;eye movements;peripheral vision
Report Number
DRDC-RDDC-2018-P007 — External Literature
Date of publication
01 Jan 2018
Number of Pages
Reprinted from
Information Fusion, vol 39, p. 186 203
Electronic Document(PDF)

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