Fine-resolution imagery of extended objects observed through volume turbulence using phase-diverse speckle

Computer Science – Performance

Scientific paper

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Scientific paper

Space-variant blur occurs when imaging through volume turbulence over sufficiently large fields of view. This condition arises in a variety of imaging geometries, including astronomical imaging, horizontal-path imaging, and slant-path (e.g. air-to-ground) imaging. Space-variant effects are particularly severe when much of the optical path is immersed in turbulent media. We present a novel post-processing algorithm based on the technique of phase- diverse speckle (PDS) and a physical model for the space- variant blur. PDS imaging is a combination of phase diversity and speckle imaging which has proven to be an effective post-processing technique for cases with space- invariant blur. We present the details of the algorithm modified to accommodate space-variance and demonstrate its performance with results from both simulation experiments and real-data experiments. The results show that the space- variant PDS algorithm is very effective in cases involving severe space-variant blur, which cause correction techniques based on space-invariant models to fail.

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