17 June 1996 Advanced SAR system simulations in synthetically generated real-world scenarios
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Abstract
Synthetically generated radar imagery can provide a unique virtual environment which integrates the variability of sensor, scene, operational, and processing parameters. Since the advent of radar sensor technology, a significant level of effort has been expended on the development of electromagnetic modeling techniques to understand and predict the scattering and sensor phenomenology involved in synthetic-aperture radar (SAR) imaging systems. The inception of CAD/CAM tools in designing targets has allowed for the accurate prediction of geometrically and materially defined targets for use in signature prediction models. These three-dimensional target models are well suited for signature predictions which utilize deterministic approaches such as shooting/bouncing ray, finite-difference time-domain, and finite-element methods. In the area of clutter modeling, however, the temporal and inhomogeneous nature of foliage and terrain constituents require a hybrid formulation of deterministic and statistical approaches. In light of these modeling requirements, an effort to integrate sensor, target, and clutter simulations had led to the development of a SAR simulation system, advanced radar imaging emulation system (ARIES). This software provides the synthetic generation of high-fidelity SAR imagery for a wide range of user-defined platform, sensor, and scene parameters.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Isabelle B. Lozon, Isabelle B. Lozon, Steven M. Kilberg, Steven M. Kilberg, Juan Roman, Juan Roman, "Advanced SAR system simulations in synthetically generated real-world scenarios", Proc. SPIE 2742, Targets and Backgrounds: Characterization and Representation II, (17 June 1996); doi: 10.1117/12.243014; https://doi.org/10.1117/12.243014
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