Unmanned Aerial Reconnaissance Vehicle (UARV) Imagery Interpretation Study

摘要

This study was conducted because the end product of reconnaissance is theintelligence report generated by the interpreter without imagery usable by an interpreter. The entire UARV system would be useless. A unique approach was utilized in developing technology requirements for UARVs by first identifying what was required for image interpretation and then propagating these requirements up to the vehicle subsystems level. We conducted the study in four phases. The first phase reviewed image interpreter requirements in terms of image quality needed to perform the specific tasks described by requirements documents. In phase II, we reviewed UARV subsystems to determine which were critical to the reconnaissance mission. Phase III analyzed the systems issues and imagery requirements to determine where technology research and development activities needed to cover the shortfalls. The study phases were performed under contract to the Rome Laboratory (RL/IRRE) by Knowledge Systems Concepts, Inc and Boeing Military Aircraft Corporation. Air Force Reserve personnel assigned to Rome Lab used material generated under the contract to assemble this report.