Background clutter models for scene simulation

J. Michael Cathcart; Nickolas L. Faust; Albert D. Sheffer Jr.; Leonard J. Rodriguez

doi:10.1117/12.161558

15 November 1993 Background clutter models for scene simulation

J. Michael Cathcart, Nickolas L. Faust, Albert D. Sheffer Jr., Leonard J. Rodriguez

Proceedings Volume 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data; (1993) https://doi.org/10.1117/12.161558
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Geographic background models constitute an important component in scene simulations as they provide one component of clutter observed through IR sensors. Accurate modeling of the spatially-varying features and signatures of the background presents a significant challenge to the developer of a scene simulation; especially for tactical applications. The approach employed within the Georgia Tech Research Institute is outlined in this paper. Emphasis is placed on the methodology for creating the spatial structure of the background, the underlying signature prediction model, and the relationship between the geographic features and the signature model.

Citation Download Citation

J. Michael Cathcart, Nickolas L. Faust, Albert D. Sheffer Jr., and Leonard J. Rodriguez "Background clutter models for scene simulation", Proc. SPIE 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, (15 November 1993); https://doi.org/10.1117/12.161558

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