5 October 2017 Comparing synthetic imagery with real imagery for visible signature analysis: human observer results
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Abstract
Synthetic imagery could potentially enhance visible signature analysis by providing a wider range of target images in differing environmental conditions than would be feasible to collect in field trials. Achieving this requires a method for generating synthetic imagery that is both verified to be realistic and produces the same visible signature analysis results as real images. Is target detectability as measured by image metrics the same for real images and synthetic images of the same scene? Is target detectability as measured by human observer trials the same for real images and synthetic images of the same scene, and how realistic do the synthetic images need to be?

In this paper we present the results of a small scale exploratory study on the second question: a photosimulation experiment conducted using digital photographs and synthetic images generated of the same scene. Two sets of synthetic images were created: a high fidelity set created using an image generation tool, E-on Vue, and a low fidelity set created using a gaming engine, Unity 3D. The target detection results obtained using digital photographs were compared with those obtained using the two sets of synthetic images. There was a moderate correlation between the high fidelity synthetic image set and the real images in both the probability of correct detection (Pd: PCC = 0.58, SCC = 0.57) and mean search time (MST: PCC = 0.63, SCC = 0.61). There was no correlation between the low fidelity synthetic image set and the real images for the Pd, but a moderate correlation for MST (PCC = 0.67, SCC = 0.55).
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Joanne B. Culpepper, Joanne B. Culpepper, Noel Richards, Noel Richards, Christopher S. Madden, Christopher S. Madden, Neal Winter, Neal Winter, Vivienne C. Wheaton, Vivienne C. Wheaton, } "Comparing synthetic imagery with real imagery for visible signature analysis: human observer results", Proc. SPIE 10432, Target and Background Signatures III, 104320H (5 October 2017); doi: 10.1117/12.2277580; https://doi.org/10.1117/12.2277580
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