R. Bruce Duncan (Boeing Company), Chris Sabol (Air Force Research Laboratory, Directed Energy Directorate), Kathy Borelli (KJS Consulting), Scott Spekta (ITT Corporation), Jason Addison (HNu Photonics), Adam Mallo (Pacific Defense Solutions, LLC), Brad Farnsworth (Pacific Defense Solutions, LLC), Ron Viloria (Maui High Performance Computing Center DSRC), George Ramseyer (Air Force Research Laboratory, Information Directorate)
Keywords: Adaptive Optics, Imaging
Abstract:
This paper describes image enhancement software applications engineering development work that has been performed in support of Maui Space Surveillance System (MSSS) Modernization. It also includes R&D and transition activity that has been performed over the past few years with the objective of providing increased space situational awareness (SSA) capabilities. This includes Air Force Research Laboratory (AFRL) use of an FY10 Dedicated High Performance Investment (DHPI) cluster award — and our selection and planned use for an FY12 DHPI award. We provide an introduction to image processing of electro optical (EO) telescope sensors data; and a high resolution image enhancement and near real time processing and summary status overview. We then describe recent image enhancement applications development and support for MSSS Modernization, results to date, and end with a discussion of desired future development work and conclusions. Significant improvements to image processing enhancement have been realized over the past several years, including a key application that has realized more than a 10,000-times speedup compared to the original R&D code — and a greater than 72-times speedup over the past few years. The latest version of this code maintains software efficiency for post-mission processing while providing optimization for image processing of data from a new EO sensor at MSSS. Additional work has also been performed to develop low latency, near real time processing of data that is collected by the ground-based sensor during overhead passes of space objects.
Date of Conference: September 11-14, 2012
Track: Adaptive Optics and Imaging