Dr. Steven Sandoval Profile

Dr. Steven Sandoval

at New Mexico State Univ

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Author

Publications (7)

SPIE Journal Paper | 27 April 2024

Estimation of motion blur kernel parameters using regression convolutional neural networks

Luis Varela, Laura Boucheron, Steven Sandoval, David Voelz, Abu Bucker Siddik

JEI, Vol. 33, Issue 02, 023062, (April 2024) https://doi.org/10.1117/12.10.1117/1.JEI.33.2.023062

KEYWORDS: Motion blur, Deblurring, Education and training, Error analysis, Motion estimation, Signal to noise ratio, Image sharpness, Motion models, Image quality, Deep learning

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Proceedings Article | 3 October 2023 Presentation + Paper

A patch-based regression convolutional neural network for motion blur estimation

Luis Varela, Laura Boucheron, David Voelz, Abu Bucker Siddik, Steven Sandoval

Proceedings Volume 12693, 126931F (2023) https://doi.org/10.1117/12.2681497

KEYWORDS: Motion blur, Motion estimation, Image analysis, Turbulence, Deblurring, Convolutional neural networks

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Proceedings Article | 3 October 2023 Presentation + Paper

Facial classification from multispectral imagery through atmospheric turbulence using machine learning

Abu Bucker Siddik, Steven Sandoval, David Voelz, Laura Boucheron, Luis Varela

Proceedings Volume 12693, 1269306 (2023) https://doi.org/10.1117/12.2677910

KEYWORDS: Multispectral imaging, Image classification, Turbulence, Machine learning, Education and training, Atmospheric turbulence, Deep learning, Databases, Data modeling, Image processing

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Proceedings Article | 1 August 2021 Presentation + Paper

Extended analysis of atmospheric refraction effects captured by time-lapse imaging: long-term trends and machine learning image shift prediction

Wardeh Al-Younis, Steven Sandoval, David Voelz, Patrick Miller

Proceedings Volume 11834, 1183404 (2021) https://doi.org/10.1117/12.2594947

KEYWORDS: Neurons, Neural networks, Machine learning, Solar radiation models, Near field, Image processing, Cameras, Data modeling, Refraction, Performance modeling

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Proceedings Article | 12 April 2021 Presentation + Paper

Deep echo state neural network model for light propagation through strong atmospheric turbulence

Michael DeAntonio, Steven Sandoval

Proceedings Volume 11740, 117400G (2021) https://doi.org/10.1117/12.2586517

KEYWORDS: Atmospheric propagation, Atmospheric turbulence, Neural networks, Atmospheric modeling, Laser beam propagation, Turbulence, Sensors, Speckle, Sodium guide stars, Geometrical optics

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SPIE Journal Paper | 10 March 2020 Open Access

Image shift due to atmospheric refraction: prediction by numerical weather modeling and machine learning

Wardeh Al-Younis, Christina Nevarez, Mohammad Abdullah-Al-Mamun, Steven Sandoval, Sukanta Basu, David Voelz

OE, Vol. 59, Issue 08, 081803, (March 2020) https://doi.org/10.1117/12.10.1117/1.OE.59.8.081803

KEYWORDS: Atmospheric modeling, Refraction, Cameras, Data modeling, Machine learning, Refractive index, Meteorology, Atmospheric propagation, Ray tracing, Optical engineering

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Proceedings Article | 6 September 2019 Presentation + Paper

Predicting atmospheric refraction with weather modeling and machine learning

Wardeh Al-Younis, Christina Nevarez, David Voelz, Steven Sandoval, Sukanta Basu

Proceedings Volume 11133, 111330E (2019) https://doi.org/10.1117/12.2529533

KEYWORDS: Atmospheric modeling, Data modeling, Refraction, Ray tracing, Machine learning, Refractive index, Atmospheric propagation

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Showing 5 of 7 publications

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