Enhanced Low Observables Algorithms

In Phase II, we propose to develop an image processing toolkit (iPTK) which can be integrated into the MDA staring and scanning optical surveillance suites to provide significantly-improved capabilities for finding, fixing, and tracking multiple ballistic and flying low observable objects in highly stressing cluttered environments. The functions performed by the iPTK will include sensor motion compensation, clutter suppression, on-line statistical modeling, multiple-target track-before-detect filtering, and data visualization. These functions will implement algorithms based on optimal Bayesian mathematics and semi-parametric spatial-temporal image processing techniques, building upon successful development and demonstration in Phase I. The software architecture will be based on state-of-the-art object oriented C++ design, for efficient integration into STSS-, SBIRS-, and SBSS-like systems. By the end of Phase II, the iPTK will have been matured to a Technology Readiness Level (TRL) of 6. Extensive testing and performance evaluations will be included in Phase II, to enhance and demonstrate the capabilities of the iPTK. The evaluations will be performed using datasets of interest to the MDA and to its prime contractors, so that the performance of the developed iPTK can be compared with that of existing software.