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Jacob Lucas
Jacob Lucas
Staff Systems Engineer, Acubed
Verified email at airbus-sv.com
Title
Cited by
Cited by
Year
Chromium volatility of coated and uncoated steel interconnects for SOFCs
C Collins, J Lucas, TL Buchanan, M Kopczyk, A Kayani, PE Gannon, ...
Surface and Coatings Technology 201 (7), 4467-4470, 2006
1092006
Advanced PVD protective coatings for SOFC interconnects
P Gannon, M Deibert, P White, R Smith, H Chen, W Priyantha, J Lucas, ...
International Journal of Hydrogen Energy 33 (14), 3991-4000, 2008
842008
Oxidation resistance of magnetron-sputtered CrAlN coatings on 430 steel at 800 C
A Kayani, TL Buchanan, M Kopczyk, C Collins, J Lucas, K Lund, ...
Surface and Coatings Technology 201 (7), 4460-4466, 2006
422006
Phase screen simulations of laser propagation through non-Kolmogorov atmospheric turbulence
VSR Gudimetla, RB Holmes, TC Farrell, J Lucas
Atmospheric Propagation VIII 8038, 77-88, 2011
342011
Machine learning for quality assessment of ground-based optical images of satellites
T Kyono, J Lucas, M Werth, B Calef, I McQuaid, J Fletcher
Optical Engineering 59 (5), 051403-051403, 2020
212020
Thermal stability and oxidation resistance of TiCrAlYO coatings on SS430 for solid oxide fuel cell interconnect applications
H Chen, JA Lucas, W Priyantha, M Kopczyk, RJ Smith, K Lund, C Key, ...
Surface and Coatings Technology 202 (19), 4820-4824, 2008
192008
Recovering astronomical images with deep neural network supported bispectrum processing
J Lucas, B Calef, T Kyono
Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, 2018
112018
Automated interpretability scoring of ground-based observations of leo objects with deep learning
J Lucas, M Werth, T Kyono, I Mcquaid, J Fletcher
2020 IEEE Aerospace Conference, 1-7, 2020
102020
Silo: A machine learning dataset of synthetic ground-based observations of leo satellites
M Werth, J Lucas, T Kyono, I McQuaid, J Fletcher
2020 IEEE Aerospace Conference, 1-8, 2020
102020
Determining multi-frame blind deconvolution resolvability using deep learning
T Kyono, J Lucas, M Werth, J Flecther, I McQuaid
Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, 2019
92019
Image enhancement for astronomical scenes
J Lucas, B Calef, K Knox
Applications of Digital Image Processing XXXVI 8856, 12-19, 2013
92013
Estimating satellite orientation through turbulence with deep learning
J Lucas, T Kyono, M Werth, N Gagnier, Z Endsley, J Fletcher, I McQuaid
Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2020
72020
Quality-Weighted Iterative Deconvolution (QWID)
M Werth, T Kyono, J Lucas, J Fletcher, I Mcquaid, M Brannon
Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, 2020
62020
Sodium guidestar signal levels measured at AMOS and comparison to theory
D Senft, S Hunt, TR Swindle, N Morris, R Holmes, E Walker, J Lucas, ...
Advanced Maui Optical and Space Surveillance Technologies Conference, 81, 2019
62019
Automated resolution scoring of ground-based leo observations using convolutional neural networks
J Lucas, T Kyono, M Werth, J Flecther, I McQuaid
Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, 2019
62019
Impact of Partial Spatial and Temporal Coherence on Active Track and Active Imaging
R Holmes, J Lucas, M Werth, VSR Gudimetla, J Riker
Journal of Directed Energy 5 (4), 2016
52016
Semantic segmentation of low earth orbit satellites using convolutional neural networks
J Yang, J Lucas, T Kyono, M Abercrombie, AV Berg, J Fletcher
2022 IEEE Aerospace Conference (AERO), 1-13, 2022
42022
Towards Real-Time Image Reconstruction Using Deep Neural Networks
T Kyono, J Lucas, M Werth, J Fletcher, I McQuaid
Proceedings of the Advanced Maui Optical and Space Surveillance Technologies …, 2020
42020
Detailed comparisons of combat data to wave-optics simulation
R Holmes, R Gudimetla, J Lucas, J Bos
Propagation through and Characterization of Distributed Volume Turbulence …, 2015
42015
Feature detection for automated air-to-air refueling (a3r)
TM Kyono, JA Lucas, NC Gagnier, JC Hatcher, JL Clayton, Y Yang, ...
US Patent App. 17/574,498, 2022
32022
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