Advanced Algorithms for Space-Based Next-Generation Infrared Sensor Exploitation

ABSTRACT: Discrimination and tracking of low-observable targets within a cluttered viewing environment are major challenges facing the next generation of space-based wide-field-of-view (WFOV) electro optical visible and infrared (EO-IR) sensors. Low observable targets may consist of multiple, closely-spaced objects that are poorly resolved or non-resolved, objects whose signature is comparable to (or less than) the background against which it is observed, or in obscuring conditions. This effort addresses the processes by which the next generation imaging sensors will address the need for storing and processing large data volumes, while detecting and tracking the signature of interest which may occur on a few pixels at very low signal-to-background or signal-to-clutter levels. BENEFIT: The innovation resulting from this research will have direct impact on any program that has a need to track dim objects against a cluttered background, such as midcourse objects or airplanes. The innovations produced by this Phase I effort will be in the increased detection and discrimination of low observables and estimates of resources needed to implement detection and tracking onboard. In addition to the high visibility space-based surveillance, remote sensing and interceptor missions, FTI has identified civilian and military applications of aircraft and traffic monitoring or monitoring of space debris in low-Earth orbit as being potential immediate application targets for this technology.