Dr. Chensheng Wu Profile

Dr. Chensheng Wu

at Univ of Maryland College Park

SPIE Involvement:

Author

Publications (27)

Proceedings Article | 7 October 2019 Paper

Characterization and compensation of atmospheric effects on laser beams

Miranda van Iersel, Daniel Paulson, Nathaniel Ferlic, Jonathan Ko, Chensheng Wu, John Rzasa, Christopher Davis

Proceedings Volume 11161, 1116107 (2019) https://doi.org/10.1117/12.2534755

KEYWORDS: Atmospheric optics, Atmospheric propagation, Laser countermeasures, Optical turbulence, Laser beam propagation, Spatial coherence, Atmospheric sensing, Adaptive optics, Sensors, Turbulence

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Proceedings Article | 6 September 2019 Presentation + Paper

Observing single and multiple laser glints through anisotropic turbulence with a plenoptic sensor

Chensheng Wu, Daniel Paulson, Miranda van Iersel, John Rzasa, Nathaniel Ferlic, Christopher Davis

Proceedings Volume 11133, 111330Y (2019) https://doi.org/10.1117/12.2530364

KEYWORDS: Sensors, Turbulence, Image sensors, Anisotropy, Picosecond phenomena, Associative arrays, Wavefronts, Objectives, Imaging systems, Cameras

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Proceedings Article | 6 September 2019 Presentation + Paper

Fundamental differences between the plenoptic sensor and the light field camera in imaging through turbulence

Chensheng Wu, John Rzasa, Christopher Davis

Proceedings Volume 11133, 111330R (2019) https://doi.org/10.1117/12.2530388

KEYWORDS: Turbulence, Cameras, Sensors, Distortion, Optical sensors, Image sensors, Optical filters, Image filtering, Diffraction, Geometrical optics

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Proceedings Article | 10 October 2018 Paper

A detailed comparison of non-Kolmogorov and anisotropic optical turbulence theories using wave optics simulations

Daniel Paulson, Chensheng Wu, Christopher Davis

Proceedings Volume 10770, 107700X (2018) https://doi.org/10.1117/12.2323342

KEYWORDS: Turbulence, Optical simulations, Beam propagation method, Wave propagation, Optical turbulence, Computer simulations, Atmospheric propagation, Scintillation, Anisotropy, Refractive index

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Proceedings Article | 18 September 2018 Presentation + Paper

Near ground surface turbulence measurements and validation: a comparison between different systems

Chensheng Wu, Daniel Paulson, Miranda Van Iersel, Joseph Coffaro, Melissa Beason, Christopher Smith, Robert Crabbs, Ronald Phillips, Larry Andrews, Christopher Davis

Proceedings Volume 10770, 107700K (2018) https://doi.org/10.1117/12.2322723

KEYWORDS: Turbulence, Anisotropy, Scintillation, Sensors, Telecommunications, Imaging systems, Beam shaping, LIDAR, Atmospheric propagation, Systems modeling, Temperature sensors, Atmospheric turbulence, Optical turbulence

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Proceedings Article | 18 September 2018 Presentation + Paper

A multi-aperture laser transmissometer for detailed characterization of laser propagation over long paths through the turbulent atmosphere

Daniel Paulson, Chensheng Wu, John Rzasa, Jonathan Ko, Miranda Van Iersel, Joseph Coffaro, Christopher Smith, Robert Crabbs, Christopher Davis

Proceedings Volume 10770, 107700J (2018) https://doi.org/10.1117/12.2322586

KEYWORDS: Turbulence, Receivers, Sensors, Visibility, Transmitters, Atmospheric propagation, Signal detection, Refractive index, Laser beam propagation, Mass attenuation coefficient

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Proceedings Article | 25 May 2018 Presentation + Paper

Object detection and geometric profiling through dirty water media using asymmetry properties of backscattered signals

Chensheng Wu, Robert Lee, Christopher Davis

Proceedings Volume 10631, 106310N (2018) https://doi.org/10.1117/12.2304414

KEYWORDS: Scattering, Laser scattering, Cameras, Light scattering, Beam propagation method, Signal detection, Profiling, Continuous wave operation, Water, Beam splitters, Coherent optics, Backscatter, 3D surface sensing, Structured light

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Proceedings Article | 7 September 2017 Presentation + Paper

Hybrid wavefront sensing and image correction algorithm for imaging through turbulent media

Chensheng Wu, John Robertson Rzasa, Jonathan Ko, Christopher Davis

Proceedings Volume 10408, 104080Y (2017) https://doi.org/10.1117/12.2275735

KEYWORDS: Wavefront sensors, Image sensors, Turbulence, Cameras, Reconstruction algorithms, Sensors, Wavefronts, Image processing, Sensor calibration, Image restoration

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Proceedings Article | 30 August 2017 Presentation + Paper

Phase and amplitude modification of a laser beam by two deformable mirrors using conventional 4f image encryption techniques

Chensheng Wu, Jonathan Ko, John Robertson Rzasa, Christopher Davis

Proceedings Volume 10408, 1040803 (2017) https://doi.org/10.1117/12.2275733

KEYWORDS: Image encryption, Deformable mirrors, Turbulence, Beam shaping, Phase modulation, Fourier transforms, Adaptive optics, Control systems, Gaussian beams

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Proceedings Article | 30 August 2017 Presentation + Paper

Atmospheric characterization on the Kennedy Space Center Shuttle Landing Facility

Jonathan Ko, Joseph Coffaro, Chensheng Wu, Daniel Paulson, Christopher Davis

Proceedings Volume 10408, 104080P (2017) https://doi.org/10.1117/12.2276297

KEYWORDS: Atmospheric turbulence, Atmospheric optics, Sensors, Turbulence, Atmospheric propagation, Atmospheric scintillation, Atmospheric sensing, Scintillation, Wavefront sensors, Adaptive optics

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Proceedings Article | 7 December 2016 Presentation

Propagation of combined laser beams through atmospheric turbulence (Conference Presentation)

William Nelson, Chensheng Wu, Phillip Sprangle, Christopher Davis

Proceedings Volume 9979, 99790N (2016) https://doi.org/10.1117/12.2239140

KEYWORDS: Fiber lasers, Atmospheric propagation, Atmospheric turbulence, Directed energy weapons, Laser applications, Laser beam propagation, Mode locking, High power lasers, Oscillators, High power fiber amplifiers

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Proceedings Article | 19 September 2016 Presentation + Paper

Imaging through water turbulence with a plenoptic sensor

Chensheng Wu, Jonathan Ko, Christopher Davis

Proceedings Volume 9979, 99790Z (2016) https://doi.org/10.1117/12.2239118

KEYWORDS: Turbulence, Image processing, Sensors, Image sensors, Cameras, Distortion, Imaging systems, Wavefronts, Specular reflections, Water

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Proceedings Article | 19 September 2016 Presentation + Paper

Complex wavefront sensing with a plenoptic sensor

Chensheng Wu, Jonathan Ko, Christopher Davis

Proceedings Volume 9979, 99790Y (2016) https://doi.org/10.1117/12.2239117

KEYWORDS: Sensors, Wavefront sensors, Turbulence, Wavefronts, Image sensors, Distortion, Adaptive optics, Objectives, Free space optics, Associative arrays

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Proceedings Article | 19 September 2016 Presentation + Paper

Implementation of a rapid correction algorithm for adaptive optics using a plenoptic sensor

Jonathan Ko, Chensheng Wu, Christopher Davis

Proceedings Volume 9979, 99790O (2016) https://doi.org/10.1117/12.2239364

KEYWORDS: Sensors, Adaptive optics, Atmospheric turbulence, Reconstruction algorithms, Wavefront sensors, Wavefronts, Wavefront reconstruction, Deformable mirrors, Objectives, Actuators

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Proceedings Article | 4 September 2015 Paper

An adaptive optics approach for laser beam correction in turbulence utilizing a modified plenoptic camera

Jonathan Ko, Chensheng Wu, Christopher Davis

Proceedings Volume 9614, 96140I (2015) https://doi.org/10.1117/12.2191180

KEYWORDS: Wavefronts, Reconstruction algorithms, Cameras, Deformable mirrors, Adaptive optics, Actuators, Turbulence, Wavefront sensors, Sensors, Zernike polynomials

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Proceedings Article | 4 September 2015 Paper

Entropy studies on beam distortion by atmospheric turbulence

Chensheng Wu, Jonathan Ko, Christopher Davis

Proceedings Volume 9614, 96140F (2015) https://doi.org/10.1117/12.2190974

KEYWORDS: Sensors, Wavefront sensors, Distortion, Turbulence, Image sensors, Atmospheric turbulence, Adaptive optics, Reconstruction algorithms, Wavefronts, Deformable mirrors

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Proceedings Article | 4 September 2015 Paper

Imaging through turbulence using a plenoptic sensor

Chensheng Wu, Jonathan Ko, Christopher Davis

Proceedings Volume 9614, 961405 (2015) https://doi.org/10.1117/12.2190975

KEYWORDS: Turbulence, Sensors, Image sensors, Image processing, Atmospheric turbulence, 3D image processing, Cameras, Stereoscopy, Panoramic photography, Image retrieval

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Proceedings Article | 4 September 2015 Paper

Determining beam properties at an inaccessible plane using the reciprocity of atmospheric turbulence

W. Nelson, C. Wu, C. Davis

Proceedings Volume 9614, 96140E (2015) https://doi.org/10.1117/12.2190969

KEYWORDS: Sensors, Receivers, Transmitters, Adaptive optics, Atmospheric propagation, Turbulence, Beam propagation method, Target detection, Modulators, Atmospheric turbulence

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Proceedings Article | 16 March 2015 Paper

Object recognition through turbulence with a modified plenoptic camera

Chensheng Wu, Jonathan Ko, Christopher Davis

Proceedings Volume 9354, 93540V (2015) https://doi.org/10.1117/12.2080083

KEYWORDS: Turbulence, Cameras, Image processing, Neodymium, Mendelevium, Atmospheric turbulence, Distortion, Object recognition, Image resolution, Atmospheric propagation

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Proceedings Article | 7 October 2014 Paper

3D geometric modeling and simulation of laser propagation through turbulence with plenoptic functions

Chensheng Wu, William Nelson, Christopher Davis

Proceedings Volume 9224, 92240O (2014) https://doi.org/10.1117/12.2062945

KEYWORDS: Turbulence, 3D modeling, Atmospheric propagation, Diffraction, Wave propagation, Refractive index, Beam propagation method, 3D displays, Gaussian beams, Atmospheric modeling

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Plenoptic functions are functions that preserve all the necessary light field information of optical events. Theoretical work has demonstrated that geometric based plenoptic functions can serve equally well in the traditional wave propagation equation known as the “scalar stochastic Helmholtz equation”. However, in addressing problems of 3D turbulence simulation, the dominant methods using phase screen models have limitations both in explaining the choice of parameters (on the transverse plane) in real-world measurements, and finding proper correlations between neighboring phase screens (the Markov assumption breaks down). Though possible corrections to phase screen models are still promising, the equivalent geometric approach based on plenoptic functions begins to show some advantages. In fact, in these geometric approaches, a continuous wave problem is reduced to discrete trajectories of rays. This allows for convenience in parallel computing and guarantees conservation of energy. Besides the pairwise independence of simulated rays, the assigned refractive index grids can be directly tested by temperature measurements with tiny thermoprobes combined with other parameters such as humidity level and wind speed. Furthermore, without loss of generality one can break the causal chain in phase screen models by defining regional refractive centers to allow rays that are less affected to propagate through directly. As a result, our work shows that the 3D geometric approach serves as an efficient and accurate method in assessing relevant turbulence problems with inputs of several environmental measurements and reasonable guesses (such as C_n ² levels). This approach will facilitate analysis and possible corrections in lateral wave propagation problems, such as image de-blurring, prediction of laser propagation over long ranges, and improvement of free space optic communication systems. In this paper, the plenoptic function model and relevant parallel algorithm computing will be presented, and its primary results and applications are demonstrated.

Proceedings Article | 7 October 2014 Paper

Enhanced backscatter of optical beams reflected in atmospheric turbulence

W. Nelson, J. Palastro, C. Wu, C. Davis

Proceedings Volume 9224, 922411 (2014) https://doi.org/10.1117/12.2062946

KEYWORDS: Turbulence, Sensors, Atmospheric propagation, Transmitters, Mirrors, Receivers, Reflectors, Retroreflectors, Refractive index, Beam propagation method

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Proceedings Article | 7 October 2014 Paper

Phase and amplitude wave front sensing and reconstruction with a modified plenoptic camera

Chensheng Wu, Jonathan Ko, William Nelson, Christopher Davis

Proceedings Volume 9224, 92240G (2014) https://doi.org/10.1117/12.2062948

KEYWORDS: Cameras, Reconstruction algorithms, Deformable mirrors, Adaptive optics, Wavefronts, Turbulence, Zernike polynomials, Wavefront sensors, Atmospheric turbulence, Receivers

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Proceedings Article | 7 October 2014 Paper

Experimental results on the enhanced backscatter phenomenon and its dynamics

Chensheng Wu, William Nelson, Jonathan Ko, Christopher Davis

Proceedings Volume 9224, 922412 (2014) https://doi.org/10.1117/12.2062952

KEYWORDS: Turbulence, Backscatter, Adaptive optics, Cameras, Retroreflectors, Beam splitters, Scintillation, Mirrors, Atmospheric turbulence, Atmospheric propagation

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Proceedings Article | 7 October 2014 Paper

Intelligent correction of laser beam propagation through turbulent media using adaptive optics

Jonathan Ko, Chensheng Wu, Christopher Davis

Proceedings Volume 9224, 92240E (2014) https://doi.org/10.1117/12.2062951

KEYWORDS: Cameras, Wavefronts, Actuators, Wavefront sensors, Reconstruction algorithms, Deformable mirrors, Turbulence, Adaptive optics, Atmospheric propagation, Objectives

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Proceedings Article | 25 September 2013 Paper

Geometrical optics analysis of atmospheric turbulence

Chensheng Wu, Christopher Davis

Proceedings Volume 8874, 88740V (2013) https://doi.org/10.1117/12.2025913

KEYWORDS: Turbulence, Refractive index, Atmospheric propagation, Geometrical optics, Diffraction, Refraction, Atmospheric turbulence, Free space optics, Atmospheric optics, Wave propagation

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Proceedings Article | 25 September 2013 Paper

Modified plenoptic camera for phase and amplitude wavefront sensing

Chensheng Wu, Christopher Davis

Proceedings Volume 8874, 88740I (2013) https://doi.org/10.1117/12.2026259

KEYWORDS: Cameras, Wavefront sensors, Image sensors, Sensors, Neodymium, Wavefronts, Modulators, Objectives, Mendelevium, Paraxial approximations

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Proceedings Article | 24 October 2012 Paper

Using a plenoptic camera to measure distortions in wavefronts affected by atmospheric turbulence

Mohammed Eslami, Chensheng Wu, John Rzasa, Christopher Davis

Proceedings Volume 8517, 85170S (2012) https://doi.org/10.1117/12.943038

KEYWORDS: Sensors, Cameras, Wavefronts, Wavefront distortions, Image sensors, Microlens array, Imaging systems, Adaptive optics, Modulation, Wavefront sensors

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Showing 5 of 27 publications

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