Poster + Paper
7 June 2024 Object detection through obscurants using partially coherent fields generated by perfect optical vortex beams
Author Affiliations +
Conference Poster
Abstract
One of the methods for detecting an object behind obscurants primarily relies on the well-known principle that the autocorrelation of the object’s reflectance is effectively equivalent to autocorrelation of the reflected intensity captured after the obscurants in conventional incoherent illuminations. Here, we present a novel approach to acquiring information about an object embedded in obscurants by illuminating it with different modes of a Bessel-Gaussian beam in the far field also known as a perfect optical vortex beam (POV). Each POV with different topological charges scattered from a turbid medium induces the quasi-independent speckle fields. Through numerical analysis, we determine the optimal configurations of POVs for the number of shots and the size of speckles required for effectively imaging a hidden object. By employing the prevalent imaging method based on the ensemble-averaged intensity for each illumination, we effectively reconstruct the object's details. Unlike conventional spatially incoherent sources, our approach is expected to not only efficiently identify distant objects but also offer versatile applications through adjustment of the speckle aspect ratio.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Kang-Min Lee, Cristian Hernando Acevedo, and Aristide Dogariu "Object detection through obscurants using partially coherent fields generated by perfect optical vortex beams", Proc. SPIE 13030, Image Sensing Technologies: Materials, Devices, Systems, and Applications XI, 130300I (7 June 2024); https://doi.org/10.1117/12.3013953
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KEYWORDS
Speckle

Autocorrelation

Diffusers

Object detection

Speckle pattern

Target detection

Numerical analysis

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