Dr. Daniel A. LeMaster Profile

Dr. Daniel A. LeMaster

Senior Scientist at US Dept of Transportation

SPIE Involvement:

Publications Committee | Conference Program Committee | Author | Editor

Publications (23)

SPIE Journal Paper | 7 September 2023 Open Access

Signal and Image Processing Policy Clarification

Daniel LeMaster

OE, Vol. 62, Issue 09, 090101, (September 2023) https://doi.org/10.1117/12.10.1117/1.OE.62.9.090101

KEYWORDS: Optical engineering, Signal processing, Image processing, Imaging systems, Machine learning, Artificial intelligence, Transportation, Optical surfaces, Image restoration, Image fusion

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Proceedings Article | 22 May 2023 Presentation + Paper

Computationally efficient and high fidelity log-based demosaicking for degree of linear polarization

Joseph Raffoul, Daniel LeMaster, Keigo Hirakawa

Proceedings Volume 12327, 123270Y (2023) https://doi.org/10.1117/12.2641706

KEYWORDS: Polarization, Reconstruction algorithms, Signal to noise ratio, Linear filtering, Sensors, Polarizers, Polarimetry, Image interpolation

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SPIE Journal Paper | 14 November 2022

Multichannel blind deconvolution for full Stokes image recovery

Patrick Cunningham, Daniel LeMaster, David Becker

OE, Vol. 61, Issue 11, 113102, (November 2022) https://doi.org/10.1117/12.10.1117/1.OE.61.11.113102

KEYWORDS: Point spread functions, Image restoration, Deconvolution, Polarization, Optical engineering, Wave plates, Turbulence, Expectation maximization algorithms, Reconstruction algorithms, Detection and tracking algorithms

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Proceedings Article | 9 October 2019 Presentation + Paper

Data collection and preliminary results on turbulence characterisation and mitigation techniques

M. -T. Velluet, C. Bell, J. -F. Daigle, J. Dijk, S. Gladysz, A. Kanaev, A. Lambert, D. Lemaster, G. Potvin, M. Vorontsov

Proceedings Volume 11159, 111590Q (2019) https://doi.org/10.1117/12.2533821

KEYWORDS: Turbulence, Cameras, Laser beam propagation, Sensors, Image processing, Data modeling, Imaging systems

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Proceedings Article | 11 May 2018 Paper

Validating pyBSM: a Python package for modeling imaging systems

Daniel LeMaster, Philip Plummer, Matthew Howard, Michael Rucci

Proceedings Volume 10650, 106500K (2018) https://doi.org/10.1117/12.2305228

KEYWORDS: Modulation transfer functions, Cameras, Sensors, Signal to noise ratio, Systems modeling, Electro optical modeling, Wavefronts, Imaging systems, Performance modeling, Quantum efficiency

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SPIE Journal Paper | 21 July 2017 Open Access

Special Section Guest Editorial: Long-Range Imaging

Daniel LeMaster, Michael Hart, Andrew Lambert, Szymon Gładysz

OE, Vol. 56, Issue 07, 071501, (July 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.7.071501

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SPIE Journal Paper | 13 May 2017

Comparative analysis of numerical simulation techniques for incoherent imaging of extended objects through atmospheric turbulence

Svetlana Lachinova, Mikhail Vorontsov, Grigorii Filimonov, Daniel LeMaster, Matthew Trippel

OE, Vol. 56, Issue 07, 071509, (May 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.7.071509

KEYWORDS: Atmospheric turbulence, Numerical simulations, Monte Carlo methods, Estimation theory, Modulation transfer functions, Imaging systems, Light sources

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Proceedings Article | 1 May 2017 Presentation + Paper

pyBSM: A Python package for modeling imaging systems

Daniel LeMaster, Michael Eismann

Proceedings Volume 10204, 1020405 (2017) https://doi.org/10.1117/12.2262561

KEYWORDS: Electro optical modeling, Systems modeling, Imaging systems, Sensors, Modulation transfer functions, Signal to noise ratio, Image sensors, Electro optical imaging, Electro optics, Infrared imaging, Optical transfer functions, Performance modeling, Databases, Eye, Visibility

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Proceedings Article | 1 May 2017 Presentation + Paper

On the simulation and mitigation of anisoplanatic optical turbulence for long range imaging

Russell Hardie, Daniel LeMaster

Proceedings Volume 10204, 102040B (2017) https://doi.org/10.1117/12.2264064

KEYWORDS: Optical transfer functions, Cameras, Point spread functions, Turbulence, Optical turbulence, Range imaging, Statistical analysis, Filtering (signal processing), Image registration, Wave propagation, Computer simulations, Electronic filtering

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SPIE Journal Paper | 6 February 2017 Open Access

Simulation of anisoplanatic imaging through optical turbulence using numerical wave propagation with new validation analysis

Russell Hardie, Jonathan Power, Daniel LeMaster, Douglas Droege, Szymon Gladysz, Santasri Bose-Pillai

OE, Vol. 56, Issue 07, 071502, (February 2017) https://doi.org/10.1117/12.10.1117/1.OE.56.7.071502

KEYWORDS: Point spread functions, Cameras, Optical turbulence, Computer simulations, Wave propagation, Device simulation, Optical imaging, Turbulence, Statistical analysis, Optical engineering

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We present a numerical wave propagation method for simulating imaging of an extended scene under anisoplanatic conditions. While isoplanatic simulation is relatively common, few tools are specifically designed for simulating the imaging of extended scenes under anisoplanatic conditions. We provide a complete description of the proposed simulation tool, including the wave propagation method used. Our approach computes an array of point spread functions (PSFs) for a two-dimensional grid on the object plane. The PSFs are then used in a spatially varying weighted sum operation, with an ideal image, to produce a simulated image with realistic optical turbulence degradation. The degradation includes spatially varying warping and blurring. To produce the PSF array, we generate a series of extended phase screens. Simulated point sources are numerically propagated from an array of positions on the object plane, through the phase screens, and ultimately to the focal plane of the simulated camera. Note that the optical path for each PSF will be different, and thus, pass through a different portion of the extended phase screens. These different paths give rise to a spatially varying PSF to produce anisoplanatic effects. We use a method for defining the individual phase screen statistics that we have not seen used in previous anisoplanatic simulations. We also present a validation analysis. In particular, we compare simulated outputs with the theoretical anisoplanatic tilt correlation and a derived differential tilt variance statistic. This is in addition to comparing the long- and short-exposure PSFs and isoplanatic angle. We believe this analysis represents the most thorough validation of an anisoplanatic simulation to date. The current work is also unique that we simulate and validate both constant and varying Cn2(z) profiles. Furthermore, we simulate sequences with both temporally independent and temporally correlated turbulence effects. Temporal correlation is introduced by generating even larger extended phase screens and translating this block of screens in front of the propagation area. Our validation analysis shows an excellent match between the simulation statistics and the theoretical predictions. Thus, we think this tool can be used effectively to study optical anisoplanatic turbulence and to aid in the development of image restoration methods.

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Proceedings Article | 18 May 2016 Paper

Comparative analysis of numerical simulation techniques for incoherent imaging through atmospheric turbulence

Svetlana Lachinova, Mikhail Vorontsov, Daniel LeMaster, Matthew Trippel

Proceedings Volume 9846, 984605 (2016) https://doi.org/10.1117/12.2228615

KEYWORDS: Numerical simulations, Monte Carlo methods, Turbulence, Atmospheric turbulence, Computer simulations, Modulation transfer functions, Surface roughness, Imaging systems, Numerical simulations, Receivers, Atmospheric propagation

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Proceedings Article | 18 May 2016 Paper

Differential tilt variance effects of turbulence in imagery: comparing simulation with theory

Daniel LeMaster, Russell Hardie, Szymon Gladysz, Matthew Howard, Michael Rucci, Matthew Trippel, Jonathan Power, Barry Karch

Proceedings Volume 9846, 984606 (2016) https://doi.org/10.1117/12.2223470

KEYWORDS: Monte Carlo methods, Turbulence, Imaging systems, Light emitting diodes, Wave propagation, Image processing, Device simulation, Point spread functions, Optical simulations, Error analysis

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Proceedings Article | 1 September 2015 Paper

Bilateral bad pixel and Stokes image reconstruction for microgrid polarimetric imagers

Daniel LeMaster, Bradley Ratliff

Proceedings Volume 9613, 961304 (2015) https://doi.org/10.1117/12.2188854

KEYWORDS: Image filtering, Polarimetry, Image restoration, Statistical analysis, Image analysis, Digital filtering, Polarization, Gaussian filters, Imaging systems, Image processing

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Proceedings Article | 21 May 2014 Paper

Preliminary measurements of contrast in polarimetric signatures of humans

Van Hodgkin, Dawne Deaver, Daniel LeMaster

Proceedings Volume 9099, 90990D (2014) https://doi.org/10.1117/12.2050328

KEYWORDS: Short wave infrared radiation, Skin, Polarimetry, Received signal strength, Polarization, Imaging systems, Polysomnography, Target detection, Linear polarizers, Infrared signatures

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Proceedings Article | 21 May 2014 Paper

Fourier domain design of microgrid imaging polarimeters with improved spatial resolution

Keigo Hirakawa, Daniel LeMaster

Proceedings Volume 9099, 909906 (2014) https://doi.org/10.1117/12.2053475

KEYWORDS: Spatial resolution, Polarimetry, Modulation, Polarization, Imaging systems, Fourier transforms, Analytical research, Spatial frequencies, Image resolution, Remote sensing

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Proceedings Article | 27 September 2013 Paper

SWIR active polarization imaging for material identification

Daniel LeMaster, Adoum Mahamat, Bradley Ratliff, Andrey Alenin, J. Scott Tyo, Bradley Koch

Proceedings Volume 8873, 88730O (2013) https://doi.org/10.1117/12.2023351

KEYWORDS: Imaging systems, Polarization, Polarimetry, Target detection, Short wave infrared radiation, Polysomnography, Detection and tracking algorithms, Metals, Wave plates, Linear polarizers

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SPIE Journal Paper | 10 April 2013

Aerosol modulation transfer function model for passive long-range imaging over a nonuniform atmospheric path

Michael Eismann, Daniel LeMaster

OE, Vol. 52, Issue 04, 046201, (April 2013) https://doi.org/10.1117/12.10.1117/1.OE.52.4.046201

KEYWORDS: Modulation transfer functions, Aerosols, Atmospheric modeling, Scattering, Spatial frequencies, Atmospheric particles, Point spread functions, Monte Carlo methods, Imaging systems, Databases

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Proceedings Article | 11 June 2012 Paper

Adaptive scene-based correction algorithm for removal of residual fixed pattern noise in microgrid image data

Bradley Ratliff, Daniel LeMaster

Proceedings Volume 8364, 83640N (2012) https://doi.org/10.1117/12.916697

KEYWORDS: Calibration, Sensors, Polarimetry, Image sensors, Cameras, Staring arrays, Black bodies, Long wavelength infrared, Radiometry, Error analysis

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Proceedings Article | 18 May 2012 Paper

Impact of atmospheric aerosols on long range image quality

Daniel LeMaster, Michael Eismann

Proceedings Volume 8355, 83550F (2012) https://doi.org/10.1117/12.918286

KEYWORDS: Modulation transfer functions, Aerosols, Scattering, Atmospheric modeling, Spatial frequencies, Atmospheric particles, Light scattering, Sensors, Turbulence, Image quality

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Proceedings Article | 10 September 2011 Paper

Detection and tracking of RC model aircraft in LWIR microgrid polarimeter data

Bradley Ratliff, Daniel LeMaster, Robert Mack, Pierre Villeneuve, Jeffrey Weinheimer, John Middendorf

Proceedings Volume 8160, 816002 (2011) https://doi.org/10.1117/12.894669

KEYWORDS: Data modeling, Polarimetry, Target detection, Polarization, Sensors, Long wavelength infrared, Calibration, Thermal modeling, Image processing, Image sensors

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Proceedings Article | 4 May 2010 Paper

MidIR and LWIR polarimetric sensor comparison study

Kristan Gurton, Melvin Felton, Robert Mack, Daniel LeMaster, Craig Farlow, Michael Kudenov, Larry Pezzaniti

Proceedings Volume 7664, 76640L (2010) https://doi.org/10.1117/12.851898

KEYWORDS: Polarimetry, Sensors, Long wavelength infrared, Staring arrays, Target detection, Thermography, Calibration, Polarizers, Infrared imaging, Objectives

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Proceedings Article | 24 April 2010 Paper

MidIR and LWIR polarimetric sensor comparison study

Kristan Gurton, Melvin Felton, Robert Mack, Daniel LeMaster, Craig Farlow, Michael Kudenov, Larry Pezzaniti

Proceedings Volume 7672, 767205 (2010) https://doi.org/10.1117/12.850341

KEYWORDS: Polarimetry, Sensors, Long wavelength infrared, Staring arrays, Neodymium, Calibration, Thermography, Polarizers, Target detection, Objectives

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Proceedings Article | 24 April 2010 Paper

SPITFIRE multi-band short-wave and mid-wave polarimetric camera

Hiren Patel, Robert Mack, Daniel LeMaster, James Harris, David Forrai, Jan Servaites

Proceedings Volume 7672, 767207 (2010) https://doi.org/10.1117/12.851510

KEYWORDS: Staring arrays, Cameras, Polarimetry, Optical filters, Sensors, Mid-IR, Polarizers, Electronics, Short wave infrared radiation, Polarization

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