Reflective Ghost Imaging through Turbulence

Abstract

Recent work has indicated that ghost imaging may have applications in standoff sensing. However, most theoretical work has addressed transmission-based ghost imaging. To be a viable remote-sensing system, the ghost imager needs to image rough-surfaced targets in reflection through long, turbulent optical paths. We develop, within a Gaussian-state framework, expressions for the spatial resolution, image contrast, and signal-to-noise ratio of such a system. We consider rough-surfaced targets that create fully developed speckle in their returns, and Kolmogorov-spectrum turbulence that is uniformly distributed along all propagation paths. We address both classical and nonclassical optical sources, as well as a computational ghost imager.

13 pages, 3 figures

References in corpus (3)

• Unified Theory of Ghost Imaging with Gaussian-State Light
• Signal-to-noise ratio of Gaussian-state ghost imaging
• Computational Ghost Imaging

Cited by in corpus (12)

• Ghost imaging lidar via sparsity constraints
• Toward Global Quantum Communication: Beam Wandering Preserves Nonclassicality
• Backscattering Differential Ghost Imaging in Turbid Media
• Homodyne detection for atmosphere channels
• A Double-Threshold Technique for Fast Time-Correspondence Imaging
• Single pixel structured imaging through fog
• Non-degenerate wavelength computational ghost imaging with thermal light
• Ghost diffraction: A spatial statistical approach
• Imaging around corners with single-pixel detector by computational ghost imaging
• Robustness of chaotic-light correlation imaging against turbulence
• Computational ghost imaging versus imaging laser radar for 3D imaging
• An experimental investigation of quantum frequency correlations resilience against white and colored noise