Support to DCGS Enterprise

The Support to DCGS Enterprise program within the Air Force is focused on enhancing the Distributed Common Ground System (DCGS) architecture through various initiatives. One of the primary goals is to advance the Imagery Processing effort, which includes developing the Virtual Imagery Processing Capability (VIP-C) and the High Performance Compute (HPC) Environment. These components are designed to optimize Intelligence, Surveillance, and Reconnaissance (ISR) data for both human and machine exploitation by providing capabilities such as raw data ingest, image formation, and data conditioning.

Additionally, the program aims to enhance Machine Assisted Geospatial Intelligence (GEOINT) Exploitation (MAGE), employing advanced technologies to bridge the gap between image collection and actionable intelligence. The Common Imagery Ground / Surface Systems project supports interoperability efforts with the Office of the Under Secretary of Defense for Intelligence and Security (OUSD(I&S)), Air Force DCGS, and NATO. This involves developing and implementing international standards to ensure joint, allied, and coalition interoperability.

The project also includes necessary civilian pay expenses for managing and executing weapon system capabilities. The focus is on maintaining compatibility across various platforms and ensuring seamless integration with allied forces. The Common Imagery Processor (CIP) project is dedicated to further developing VIP-C within the DCGS framework. This involves processing airborne imagery data into exploitable formats for use within the weapon system and across the DCGS Enterprise.

Efforts include integrating new sensors, improving geo-coordinate accuracy, and enhancing automated intelligence discovery through advanced algorithms. The project also emphasizes refining foundational components and scaling advanced technologies like explainable AI/ML and adversarial attack detection. These initiatives under Support to DCGS Enterprise aim to maintain technological superiority in imagery processing capabilities while ensuring robust interoperability with allied forces.

The incremental acquisition approach allows for continuous development cycles to upgrade systems effectively. Strategic partnerships with National Laboratories and other agencies are leveraged to maximize innovation and efficiency in achieving these objectives.