Transformational motion imagery processing, exploitation, and dissemination (PED) technologies

This paper examines community efforts to enhance usability of motion imagery to support Geospatial Intelligence (GEOINT) production and analysis. Beginning with a snapshot of "where we are now," the paper will describe potential technologies for integration into baseline systems. The efforts cover PED chains for both wide area and narrow field of view sensors, with strong emphasis on workflow and process automation. While automation is key and critical to slowing down the spiraling problem of data overload, it is recognized that all intelligence problems are not "machine solvable" and therefore a delicate balance between human and machine must be designed and maintained, in order to meet critical timelines, achieve desired throughput, and get the most value out of the massive amounts of data collected. The community continues to seek innovative ways to package and deliver enhanced analytic capability.