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5 August 2004 Incorporation of measured natural reflectivities in a background clutter simulation
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Abstract
Modeling of material reflectance in simulated infrared/electro-optical scenes is typically done assuming a Gaussian distribution or similar simple statistical model, because of limited available measured data. Such an approach fails to capture the true reflectance statistics for active systems such as laser sensors. A new approach developed for a data-rich environment will be described, as applied to a laser sensor simulation. This approach utilizes a large database of recently collected laser sensor data to derive reflectance histograms for each material type in a scene. Simulated imagery using such sampled histograms is much more faithful to actual system imagery than that based on traditional statistical models. The paper will describe the material database and the algorithms by which it is utilized in the simulation, and will present resulting simulated imagery and comparisons to simulated imagery using Gaussian reflectivity models.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albert D. Sheffer Jr., J. Michael Cathcart, Steven R. Hahn, and Simeon D. Harbert "Incorporation of measured natural reflectivities in a background clutter simulation", Proc. SPIE 5431, Targets and Backgrounds X: Characterization and Representation, (5 August 2004); https://doi.org/10.1117/12.542771
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