Faculty

Institution

Unit

Venue

David Voelz

Professor

New Mexico State University

Affiliations

College of Engineering

Electrical and Computer Engineering

David Voelz is currently serving as a College Of Engineering Professor at New Mexico State University.

Honors

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Experiences

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Education

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David Voelz

New Mexico State University

Professor

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applied physics photonics optical engineering astronomy planetary sciences remote sensing aerospace engineering atmospheric science optical metrology observational astronomy laser science optical remote sensing spectroscopy computer vision optical imaging atmospheric turbulence optoelectronics wave optics beam optics optical communications wireless communications state estimation wave optics simulation space weather biomedical imaging wave propagation space optic interferometry geophysics geophysical research numerical simulations illumination modeling optical spectroscopy aotf-ldtof spectrometer suite image synthesis astronomical image analysis high-energy astrophysics space communications remote operation laser processing technology lidar studies passive polarimetric imagery anisotropic turbulence laser system computational imaging polarization imaging optical wireless communication beamforming compressive sensing optometry lower atmosphere spectral imaging imaging spectroscopy convolutional neural networks nighttime sodium layer remote sensing applications nocturnal variations phase-only control laboratory implementation adaptive imaging system partially-coherent schell-model source laser-speckle patterns lightwave technology mobile computing localization intelligent vehicles vehicular technology thermal engineering atmospheric measurement technique automatic navigation positioning systems autonomous navigation vehicle technology

Notable Scholarly Works

Notable Federal Grants

Collaborators

Estimation of Modified Zernike Coefficients From Turbulence-Degraded Multispectral Imagery Using Deep Learning. Applied Optics (2024)

Abu Bucker SiddikSteven SandovalDavid VoelzLaura E. BoucheronLuis Varela

zernike coefficientsturbulence-degraded multispectral imageryoptical engineeringdeep learningastronomyremote sensingpattern recognitionapplied mathematicsapplied physics

Estimation of Motion Blur Kernel Parameters Using Regression Convolutional Neural Networks. Journal of Electronic Imaging (2024)

Luis G. VarelaLaura E. BoucheronSteven SandovalDavid VoelzAbu Bucker Siddik

computational imagingkernel methodscomputer visiondeep learningelectronic imagingpattern recognitiondigital image processingapplied physicsmachine learningstate estimation

Estimation of Non-Uniform Motion Blur Using a Patch-Based Regression Convolutional Neural Network (CNN). Applied optics (2024)

Luis G. VarelaLaura E. BoucheronSteven SandovalDavid VoelzAbu Bucker Siddik

convolutional neural networkscomputer visionnon-uniform motion blurdeep learningmachine visionimage analysisapplied mathematicsapplied physicsmachine learningstate estimation

Three-Dimensional Atmospheric Dynamics of Jupiter From Ground-Based Doppler Imaging Spectroscopy in the Visible. The Planetary Science Journal (2024)

Francois-Xavier SchmiderPatrick GaulmeRaúl Morales-JuberíasJason JackiewiczIvan GonçalvesTristan GuillotAmy A. SimonMichael H. WongThomas UnderwoodDavid VoelzCristo SanchezRiley DeColibusSarah A. KovacSean SellersDoug GilliamPatrick BoumierThierry AppourchauxJulien DejongheJean Pierre RivetSteve MarkhamSaburo HowardLyu AbeDjamel MekarniaMasahiro IkomaHidekazu HanayamaBun’ei SatoMasanobu KunitomoHideyuki Izumiura

spectroscopyimaging spectroscopyplanetary sciencesthree-dimensional atmospheric dynamics

A Patch-Based Regression Convolutional Neural Network for Motion Blur Estimation. (2023)

Luis G. VarelaLaura E. BoucheronDavid VoelzAbu B. SiddikSteven Sandoval

convolutional neural networkscomputer visionmotion blur estimationdeep learningdata sciencemachine learning

Conditional Neural Network for Degraded Image Generation Through Atmospheric Turbulence. (2023)

Abu Bucker SiddikSteven SandovalDavid VoelzLaura E BoucheronLuis Varela

machine learningcomputer visiondegraded image generationatmospheric turbulencecomputer scienceconditional neural network

Correction and Analysis of Turbulence Effects in Time-Lapse Images Using Optical Flow Registration. (2023)

Wardeh Al-YounisDavid Voelz

turbulence effectsoptical flow registrationimage analysistime-lapse imagescomputer science

Deep Learning Estimation of Modified Zernike Coefficients and Recovery of Point Spread Functions in Turbulence. Optics Express (2023)

Abu Bucker SiddikSteven SandovalDavid VoelzLaura E. BoucheronLuis Varela

deep learningpoint spread functionszernike coefficientsaerospace engineering

Deep Learning Estimation of Modified Zernike Coefficients From Multispectral Imagery in Turbulence. (2023)

Abu Bucker SiddikSteven SandovalDavid VoelzLaura E BoucheronLuis Varela

deep learningmultispectral imageryzernike coefficientsaerospace engineering

Description of an 84-Km Propagation Experiment Across White Sands Missile Range. (2023)

Andrea BacaDavid VoelzAndreas MuschinskiRobert Hull

wave propagationmissileaerospace engineeringapplied physicsinstrumentation

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David Voelz

Professor

New Mexico State University

Affiliations

College of Engineering

Electrical and Computer Engineering

David Voelz is currently serving as a College Of Engineering Professor at New Mexico State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

David Voelz

New Mexico State University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Estimation of Modified Zernike Coefficients From Turbulence-Degraded Multispectral Imagery Using Deep Learning. Applied Optics (2024)

Abu Bucker SiddikSteven SandovalDavid VoelzLaura E. BoucheronLuis Varela

zernike coefficientsturbulence-degraded multispectral imageryoptical engineeringdeep learningastronomyremote sensingpattern recognitionapplied mathematicsapplied physics

Estimation of Motion Blur Kernel Parameters Using Regression Convolutional Neural Networks. Journal of Electronic Imaging (2024)

Luis G. VarelaLaura E. BoucheronSteven SandovalDavid VoelzAbu Bucker Siddik

computational imagingkernel methodscomputer visiondeep learningelectronic imagingpattern recognitiondigital image processingapplied physicsmachine learningstate estimation

Estimation of Non-Uniform Motion Blur Using a Patch-Based Regression Convolutional Neural Network (CNN). Applied optics (2024)

Luis G. VarelaLaura E. BoucheronSteven SandovalDavid VoelzAbu Bucker Siddik

convolutional neural networkscomputer visionnon-uniform motion blurdeep learningmachine visionimage analysisapplied mathematicsapplied physicsmachine learningstate estimation

Three-Dimensional Atmospheric Dynamics of Jupiter From Ground-Based Doppler Imaging Spectroscopy in the Visible. The Planetary Science Journal (2024)

spectroscopyimaging spectroscopyplanetary sciencesthree-dimensional atmospheric dynamics

A Patch-Based Regression Convolutional Neural Network for Motion Blur Estimation. (2023)

Luis G. VarelaLaura E. BoucheronDavid VoelzAbu B. SiddikSteven Sandoval

convolutional neural networkscomputer visionmotion blur estimationdeep learningdata sciencemachine learning

Conditional Neural Network for Degraded Image Generation Through Atmospheric Turbulence. (2023)

Abu Bucker SiddikSteven SandovalDavid VoelzLaura E BoucheronLuis Varela

machine learningcomputer visiondegraded image generationatmospheric turbulencecomputer scienceconditional neural network

Correction and Analysis of Turbulence Effects in Time-Lapse Images Using Optical Flow Registration. (2023)

Wardeh Al-YounisDavid Voelz

turbulence effectsoptical flow registrationimage analysistime-lapse imagescomputer science

Deep Learning Estimation of Modified Zernike Coefficients and Recovery of Point Spread Functions in Turbulence. Optics Express (2023)

Abu Bucker SiddikSteven SandovalDavid VoelzLaura E. BoucheronLuis Varela

deep learningpoint spread functionszernike coefficientsaerospace engineering

Deep Learning Estimation of Modified Zernike Coefficients From Multispectral Imagery in Turbulence. (2023)

Abu Bucker SiddikSteven SandovalDavid VoelzLaura E BoucheronLuis Varela

deep learningmultispectral imageryzernike coefficientsaerospace engineering

Description of an 84-Km Propagation Experiment Across White Sands Missile Range. (2023)

Andrea BacaDavid VoelzAndreas MuschinskiRobert Hull

wave propagationmissileaerospace engineeringapplied physicsinstrumentation

1
2
3
4
5
26
10 / page

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Similar Faculty Members

George Nehmetallah

Institution

Catholic University of America

biomedical imaging

optical biomedical engineering

Kerri Cahoy

Institution

Massachusetts Institute of Technology

astronomy

aerospace engineering

J. Roger Angel

Institution

University of Arizona

planetary sciences

extrasolar system

Nancy Chanover

Institution

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atmospheric science

radiative transfer modelling

Ram Narayanan

Institution

Pennsylvania State University

signal processing

radar image processing

Fernando Teixeira

Institution

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electromagnetic wave

electromagnetic compatibility

Joel Johnson

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earth science

remote sensing

Daewook Kim

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University of Arizona

instrumentation

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Richard Miles

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applied physics

aerospace engineering

Glenn Boreman

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infrared sensor

nano-scale e-field mapping