20 September 2016 Inverse synthetic aperture LADAR image construction: an inverse model-based approach
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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, Casey J. Pellizzari, Charles A. Bouman, 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); doi: 10.1117/12.2236133; https://doi.org/10.1117/12.2236133
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