Using speckle imaging techniques as a starting point for MFBD scene reconstruction from long horizontal-path, turbulence-degraded imagery
Document Type
Conference Proceeding
Publication Date
9-25-2013
Department
Department of Electrical and Computer Engineering
Abstract
Recent works indicate that both MFBD and speckle imaging methods are e ective in recovering images of scenes from sets of turbulence-degraded imagery acquired over long horizontal paths. In this work, a prototype scene estimate, generated using speckle-imaging methods, is used in place of the multi-frame ensemble average, to initialize the iterative MFBD algorithm. Available performance improvements are described quantitatively by examining the improvement in Mean Squared Error (MSE) compared to a di raction-limited image. When speckle image estimates initialize the MFBD algorithm residual MSE is reduced by 16% on average compared the case where the multi-frame average is used as a starting point. Similarly, residual MSE is reduced another 8% beyond what is available using speckle imaging method alone when the number of iterations is not constrained. We also nd that the variation in reconstruction MSE is reduced signi cantly using only a limited number of iterations when subject to low to moderated image degradation compared to speckle imaging alone.
Publication Title
Proceedings Volume 8874, Laser Communication and Propagation through the Atmosphere and Oceans II
Recommended Citation
Bos, J. P.,
Archer, G. E.,
&
Roggemann, M.
(2013).
Using speckle imaging techniques as a starting point for MFBD scene reconstruction from long horizontal-path, turbulence-degraded imagery.
Proceedings Volume 8874, Laser Communication and Propagation through the Atmosphere and Oceans II.
http://doi.org/10.1117/12.2025422
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/726
Publisher's Statement
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only. Publisher’s version of record: https://doi.org/10.1117/12.2025422