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Page King
Optical Engineer Sr Staff at Lockheed Martin Space
SPIE Involvement:
Conference Program Committee | Author
Profile Summary
Page King is an Optical Engineer at Lockheed Martin Space, specializing in radiometric and polarimetric simulation and analysis. She is also a PhD candidate at the College of Optical Sciences at the University of Arizona.
Publications (7)
Proceedings Article | 3 October 2024 Presentation + Paper
Understanding convolutional neural network classification errors caused by image quality degradation
Proceedings Volume 13138, 131380F (2024) https://doi.org/10.1117/12.3027143
KEYWORDS: Image classification, Modulation transfer functions, Spatial frequencies, Monochromatic aberrations, Image quality, Error analysis, Optical aberrations, Convolutional neural networks, Image resolution, Image analysis
Proceedings Article | 1 October 2024 Paper
Radiometry for stray light from extended sources
Page King, Matt Ivazian, R. John Koshel
Proceedings Volume 13129, 131290B (2024) https://doi.org/10.1117/12.3027144
KEYWORDS: Stray light, Sensors, Imaging systems, Ray tracing, Telescopes, Sun, Stray light analysis, Reflection
Proceedings Article | 10 October 2023 Presentation + Paper
Convolutional neural networks and the modulation transfer function
Proceedings Volume 12675, 1267509 (2023) https://doi.org/10.1117/12.2672623
KEYWORDS: Modulation transfer functions, Convolutional neural networks, Imaging systems, Spatial frequencies, Design and modelling, Target recognition, Spatial learning, Image classification, Frequency response
Proceedings Article | 10 October 2023 Presentation + Paper
Impact of optical scatter on image classification with deep neural networks
Proceedings Volume 12675, 1267508 (2023) https://doi.org/10.1117/12.2672633
KEYWORDS: Image classification, Neural networks, Systems modeling, Stray light control, Performance modeling, Optical aberrations, Imaging systems, Image quality, Design and modelling
Proceedings Article | 3 October 2022 Presentation + Paper
Impact of optical aberrations on image classification with deep neural networks
Proceedings Volume 12227, 122270E (2022) https://doi.org/10.1117/12.2631663
KEYWORDS: Monochromatic aberrations, Modulation transfer functions, Image classification, Optical aberrations, Image quality, Spatial frequencies, Neural networks, Imaging systems, Diffraction, Image processing
Showing 5 of 7 publications
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Conference Committee Involvement (2)
Applications of Machine Learning 2025
3 August 2025 | San Diego, California, United States
Applications of Machine Learning 2024
20 August 2024 | San Diego, California, United States
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