Inverse synthetic aperture LADAR image construction: an inverse model-based approach

Casey J. Pellizzari; Charles A. Bouman

doi:10.1117/12.2236133

20 September 2016 Inverse synthetic aperture LADAR image construction: an inverse model-based approach

Casey J. Pellizzari, Charles A. Bouman

Author Affiliations +

Proceedings Volume 9982, Unconventional Imaging and Wavefront Sensing XII; 99820F (2016) https://doi.org/10.1117/12.2236133
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

Standard Synthetic Aperture LADAR (SAL) image processing techniques use fast Fourier transforms (FFTs) to render images. This leads to noise amplification and estimates of the complex-valued reflection coefficient, thus resulting in high variation known as speckle. In this paper we propose a model-based iterative reconstruction (MBIR) approach using a Bayesian framework to form SAL images. The resulting images are the maximum a posteriori (MAP) estimate of object's real-valued surface reflectance. To overcome the complexity of the MAP cost function, we use the expectation maximization (EM) algorithm to derive a surrogate function which is then optimized. The proposed algorithm is tested on simulated data and compared against the Fourier-based approach.

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Casey J. Pellizzari and Charles A. Bouman "Inverse synthetic aperture LADAR image construction: an inverse model-based approach", Proc. SPIE 9982, Unconventional Imaging and Wavefront Sensing XII, 99820F (20 September 2016); https://doi.org/10.1117/12.2236133

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