Asymptotic modeling of synthetic aperture ladar sensor phenomenology

Robert M. Neuroth; Brian D. Rigling; Edmund G. Zelnio; Edward A. Watson; Vincent J. Velten; Todd V. Rovito

doi:10.1117/12.2178268

13 May 2015 Asymptotic modeling of synthetic aperture ladar sensor phenomenology

Robert M. Neuroth, Brian D. Rigling, Edmund G. Zelnio, Edward A. Watson, Vincent J. Velten, Todd V. Rovito

Author Affiliations +

Proceedings Volume 9475, Algorithms for Synthetic Aperture Radar Imagery XXII; 94750D (2015) https://doi.org/10.1117/12.2178268
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

Interest in the use of active electro-optical(EO) sensors for non-cooperative target identification has steadily increased as the quality and availability of EO sources and detectors have improved. A unique and recent innovation has been the development of an airborne synthetic aperture imaging capability at optical wavelengths. To effectively exploit this new data source for target identification, one must develop an understanding of target-sensor phenomenology at those wavelengths. Current high-frequency, asymptotic EM predictors are computationally intractable for such conditions, as their ray density is inversely proportional to wavelength. As a more efficient alternative, we have developed a geometric optics based simulation for synthetic aperture ladar that seeks to model the second order statistics of the diffuse scattering commonly found at those wavelengths but with much lesser ray density. Code has been developed, ported to high-performance computing environments, and tested on a variety of target models.

Citation Download Citation

Robert M. Neuroth, Brian D. Rigling, Edmund G. Zelnio, Edward A. Watson, Vincent J. Velten, and Todd V. Rovito "Asymptotic modeling of synthetic aperture ladar sensor phenomenology", Proc. SPIE 9475, Algorithms for Synthetic Aperture Radar Imagery XXII, 94750D (13 May 2015); https://doi.org/10.1117/12.2178268

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