Directory
Patrick Hytla
Group Leader - Senior Image Processing Engineer
University of Dayton Research Institute: Applied Sensing
Profile
Dr. Patrick Hytla is an electrical engineer with over ten years of experience in signal and image processing. His current research focus is autonomy, artificial intelligence and machine/deep learning. He leads UDRI’s Sensor Processing, Integration and Research for Exploitation (SPIRE) group and manages a wide range of research and development projects focusing on autonomy, human machine teaming, alternative navigation, target detection, target recognition and tracking, image registration, background modeling, change detection and image enhancement. His work in these fields includes several published works.
Dr. Hytla also has experience performing laboratory and field testing, calibration and data collection with a variety of EO/IR camera systems. His background includes hyperspectral remote sensing research and he is the lead author of two published works in the field of hyperspectral anomaly detection. He recently managed a project aimed at studying the effects of HSI data compression techniques on target detection via spectral matched filtering and adaptive cosine estimation.
Dr. Hytla has provided technical support to the United States delegation for the Treaty on Open Skies, which aims to enhance mutual understanding and confidence by allowing aerial surveillance flights over member nations’ territory. Open Skies is an international treaty with over 30 state parties including US, Russia and most of Europe. He performed an image resolution enhancement study for the Open Skies Sensor Sub Working Group (SSWG) as one of his support tasks.
Education
- Ph.D., Electrical Engineering, University of Dayton, 2016
- M.S., Electrical Engineering, University of Dayton, 2007
- B.S., Electrical Engineering, University of Dayton, 2005
Selected Publications
- P.C. Hytla, E.J. Balster, J.R. Vasquez and R.M. Neuroth, “Multi-Ratio Fusion Change Detection with Adaptive Thresholding,” SPIE Journal of Applied Remote Sensing, 2017.
- P.C. Hytla, E.J. Balster, J.R. Vasquez and R.M Neuroth, “Change Detection using Dual Ratio and False Color,” Proc. IEEE Symposium Series on Computational Intelligence: Computational Intelligence for Multimedia, Signal and Vision Processing, 2014.
- P.C. Hytla, K.S. Jackovitz, E.J. Balster, J.R. Vasquez and M.L. Talbert, “Detection and tracking performance with compressed wide area motion imagery,” Proc. IEEE National Aerospace and Electronics Conference, pp. 163-170, 2012.
- P.C. Hytla, J.C. French, F.O. Baxley, K.J. Barnard, M.A. Bicknell, R.C. Hardie, E.J. Balster, N.P. Vicen, “Dynamic Range Management and Image Compression Emphasizing Dismount Targets in Midwave Infrared Persistent Surveillance Systems,” Proc. Military Sensing Symposium, 2010.
- P.C. Hytla, R.C. Hardie, M.T. Eismann and J. Meola, “Anomaly detection in hyperspectral imagery: a comparison of methods using diurnal and seasonal data,” SPIE Journal of Applied Remote Sensing, vol. 3, no. 1, 2009.