Dr. Kimberly E. Manser Profile

Dr. Kimberly E. Manser

Research Scientist at DEVCOM C5ISR

SPIE Involvement:

Conference Chair | Editor | Author

Proceedings Article | 14 June 2023 Presentation + Paper

Real-data performance evaluation of Unreal Engine synthetic IR data

Christian Nadell, Gregory Spell, Mark Jeiran, Kimberly Manser

Proceedings Volume 12529, 1252904 (2023) https://doi.org/10.1117/12.2665012

KEYWORDS: Education and training, Data modeling, Performance modeling, Infrared imaging, Mid-IR, Long wavelength infrared, Object detection, Device simulation, Cross validation, Modulation transfer functions

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Proceedings Article | 14 June 2023 Presentation + Paper

Real-data performance evaluation of composite synthetic IR data

Gregory Spell, Christian Nadell, Bassam Bahhur, Kimberly Manser

Proceedings Volume 12529, 1252907 (2023) https://doi.org/10.1117/12.2665017

KEYWORDS: Data modeling, Performance modeling, Infrared imaging, Object detection, Image classification, Deep learning, Visual process modeling, Overfitting

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Proceedings Article | 12 April 2021 Presentation + Paper

Effects of image degradation on algorithm training and performance

Kimberly Manser, Shreya Ramesh, Bassam Bahhur

Proceedings Volume 11729, 117290S (2021) https://doi.org/10.1117/12.2586804

KEYWORDS: Modulation transfer functions, Feature selection

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Proceedings Article | 26 April 2018 Paper

Neural net algorithm for target ID trained on simulated data

Christopher Howell, Kimberly Manser, Jeffrey Olson

Proceedings Volume 10625, 106250Q (2018) https://doi.org/10.1117/12.2305660

KEYWORDS: Computer simulations, Data modeling, Detection and tracking algorithms, Neural networks, Data acquisition, Digital imaging, Cameras, Atmospheric modeling, Bidirectional reflectance transmission function, Image processing

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Proceedings Article | 5 May 2017 Presentation + Paper

Optimization of display viewing distance for human observers in the noise-limited case

Kimberly Kolb, Bradley Preece, Jeffrey Olson, Joseph Reynolds

Proceedings Volume 10197, 101970T (2017) https://doi.org/10.1117/12.2263322

KEYWORDS: Targeting Task Performance metric, Target acquisition, Night vision, Performance modeling, Visual process modeling, Computer simulations, Visual system, Sensors, Integrated modeling, Data modeling, Target detection, Modulation transfer functions, Signal to noise ratio, Eye, Visualization

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SPIE Journal Paper | 6 July 2016

Radiation tolerance of a Geiger-mode avalanche photodiode imaging array

Kimberly Kolb, Donald Figer, Joong Lee, Brandon Hanold

JATIS, Vol. 2, Issue 03, 036001, (July 2016) https://doi.org/10.1117/12.10.1117/1.JATIS.2.3.036001

KEYWORDS: Silicon, Sensors, Imaging arrays, Tolerancing, Charge-coupled devices, Avalanche photodiodes, Signal to noise ratio, Imaging systems, Electron multiplying charge coupled devices, Solar radiation

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Proceedings Article | 13 May 2016 Paper

Measuring the denoising performance of the human visual system for optimum display quality

Kimberly Kolb

Proceedings Volume 9839, 98390D (2016) https://doi.org/10.1117/12.2223122

KEYWORDS: Nonlinear filtering, Detection and tracking algorithms, Denoising, Visual system, Targeting Task Performance metric, Visualization, Image filtering, Modulation transfer functions, Filtering (signal processing), Signal to noise ratio

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Proceedings Article | 3 May 2016 Paper

Digital imaging and remote sensing image generator (DIRSIG) as applied to NVESD sensor performance modeling

Kimberly Kolb, Hee-sue Choi, Balvinder Kaur, Jeffrey Olson, Clayton Hill, James Hutchinson

Proceedings Volume 9820, 982019 (2016) https://doi.org/10.1117/12.2224006

KEYWORDS: Performance modeling, Device simulation, Detection and tracking algorithms, Digital imaging, Cameras, Atmospheric modeling, Computer simulations, Data modeling, Roads, Signal to noise ratio

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Proceedings Article | 28 August 2015 Paper

Large format MBE HgCdTe on silicon detector development for astronomy

Brandon Hanold, Donald Figer, Joong Lee, Kimberly Kolb, Iain Marcuson, Elizabeth Corrales, Jonathan Getty, Lynn Mears

Proceedings Volume 9609, 96090Y (2015) https://doi.org/10.1117/12.2195991

KEYWORDS: Sensors, Silicon, Mercury cadmium telluride, Semiconducting wafers, Quantum efficiency, Infrared detectors, Infrared radiation, Astronomy, Transmission electron microscopy, Infrared sensors

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Proceedings Article | 28 May 2014 Paper

Evaluation of GM-APD array devices for low-light-level imaging

Kimberly Kolb, Brandon Hanold, Joong Lee, Donald Figer

Proceedings Volume 9114, 91140D (2014) https://doi.org/10.1117/12.2050383

KEYWORDS: Sensors, Signal to noise ratio, Charge-coupled devices, CMOS sensors, Low light level imaging, Radiation effects, Sensor performance, Photodetectors, Silicon, Electron multiplying charge coupled devices

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SPIE Journal Paper | 31 March 2014

Signal-to-noise ratio of Geiger-mode avalanche photodiode single-photon counting detectors

Kimberly Kolb

OE, Vol. 53, Issue 08, 081904, (March 2014) https://doi.org/10.1117/12.10.1117/1.OE.53.8.081904

KEYWORDS: Signal to noise ratio, Sensors, Avalanche photodiodes, Monte Carlo methods, Photodetectors, Photon transport, Interference (communication), Optical engineering, Signal detection, Avalanche photodetectors

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Proceedings Article | 16 September 2011 Paper

Silicon single photon imaging detectors

D. Figer, B. Aull, D. Schuette, B. Hanold, K. Kolb, J. Lee

Proceedings Volume 8155, 81551C (2011) https://doi.org/10.1117/12.898570

KEYWORDS: Sensors, Avalanche photodetectors, Image sensors, Signal to noise ratio, Signal detection, Electrons, Silicon, Charge-coupled devices, Single photon, Photodetectors

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Proceedings Article | 13 July 2010 Paper

Hybridization of a sigma-delta-based CMOS hybrid detector

K. Kolb, N. Stoffel, B. Douglas, C. Maloney, A. Raisanen, B. Ashe, D. Figer, T. Tamagawa, B. Halpern, Zeljko Ignjatovic

Proceedings Volume 7742, 77420C (2010) https://doi.org/10.1117/12.857510

KEYWORDS: Metals, Polymers, Indium, Sensors, Photodiodes, Readout integrated circuits, Photoresist processing, Etching, Semiconducting wafers, CMOS sensors

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Showing 5 of 13 publications

SPIE Conference Volume | 13 July 2023

Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications

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