Paper
15 November 2007 Atmosphere turbulence phase compensation in synthetic aperture ladar data processing
Zhili Hua, Hongping Li, Yongjian Gu
Author Affiliations +
Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 678724 (2007) https://doi.org/10.1117/12.751056
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Accurately simulating the effect of atmospheric turbulence on the laser beams to make an effective compensation will improve the imaging ability of practical synthetic aperture ladar (SAL). Based on the modeling of atmospheric turbulence with phase screens generated by Monte Carlo algorithm and power spectrum method, and using the theory of Fourier propagation, the SAL backscattered signal of assumed Gaussian beam from point objects is simulated. The results show that phase distortion in atmospheric turbulence is severe that could reduce SAL imaging ability. A corresponding method, iterative Fourier phase conjugation (IFPC) algorithm, is provided to minimize the phase aberrations, and compensation results show that this algorithm can give us a better SAL solution.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhili Hua, Hongping Li, and Yongjian Gu "Atmosphere turbulence phase compensation in synthetic aperture ladar data processing", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 678724 (15 November 2007); https://doi.org/10.1117/12.751056
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Cited by 4 scholarly publications.
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KEYWORDS
Turbulence

Atmospheric turbulence

Monte Carlo methods

LIDAR

Atmospheric modeling

Atmospheric propagation

Image compression

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