Multi-sensor imagery cueing

摘要

There have been many years of research and development in the Automatic Target Recognition (Am) community. This development has resulted in numerous algorithms to perform target detection "automatically." The morphing of the ATR acronym to "Aided Target Recognition" provides a succinct commentary regarding the success of the automatic target recognition research. Now that the goal is aided recognition, many of the algorithms which were not able to provide autonomous recognition may now provide valuable assistance in cueing a human analyst where to look in the images under consideration. This paper describes the MUSIC system being developed for the US Air Force to provide multisensor image cueing. The tool works across multiple image phenomenologies and fuses the evidence across the set of available imagery. MUSIC is designed to work with a wide variety of sensors and platforms, and provide cueing to an image analyst in an information-rich environment. The paper concentrates on the current integration of algorithms into a extensible infrastructure to allow cueing in multiple image types.