Strong EO Imaging is a small disabled veteran owned business directed by Dr. David Strong that is focused on electro-optical imaging. The current emphasis is on small telescopes and the information that can be derived from the data collected from space objects. Dr. Strong has spent the last 6 years working with the Falcon Telescope Network (FTN) implemented by the US Air Force Academy’s (USAFA) Center for SSA Research (CSSAR). The FTN is a network of small 1/2 meter telescopes distributed around the world. Dr Strong also spent 5 years working with the Ground-based Electro-Optical Deep Space Surveillance (GEODSS) System and the Space Surveillance System (SST). This was during his employment as the Chief Electro-Optical Engineer for Excelis, Harris, and L3Harris before returning full-time to USAFA with the CSSAR.
Dr. Strong has a background in space situational awareness (SSA) as the Deputy Director of the High-Performance Software Applications Institute (HSAI) for SSA, and later wearing two hats as the Chief of the Modeling and Analysis section and as Director of Imaging at the Air Force Research Laboratory’s Detachment 15. Â As the Deputy Director of the HSAI for SSA, Dr. Strong facilitated the implementation of SSA algorithms on HPC assets. As the Director of Imaging, he was responsible for all imaging systems research and development, including both resolved and non-resolved imaging systems.
Dr. Strong’s doctoral research was on the application of polarization in mitigating the effects of atmospheric turbulence on ground-based imaging systems. As part of his dissertation he used information theory to extend the standard imaging model to include a polarization channel. He calculated the Cramer-Rao lower bounds on the model proving that the added polarization information yielded improved resolution. The improved resolution was then demonstrated using laboratory data. A Matlab simulation was also developed to explore the amount of improvement under varying levels of polarization. The simulation mode use of high-performance computing to allow many more variable changes than would have been possible on a single desktop computer.
For his Master’s degree, Dr. Strong specialized in high-performance computing with a minor track in advanced search techniques. His thesis took a genetic algorithm classifier and rewrote it for parallel execution, on a non-homogeneous cluster achieving near linear speedup. His undergraduate degree in Electrical Engineering is from Oklahoma State University, Go Pokes! He also has an Associate Degree in Avionics Systems from the Community College of the Air Force.