Support to DCGS Enterprise

Abstract

This Program Element contains Distributed Common Ground/Surface System (DCGS) Family of Systems interoperability efforts for which the AF is lead service. The DCGS Family of Systems, including AF DCGS, was directed to migrate to a net-centric DoD Intelligence, Surveillance and Reconnaissance (ISR) enterprise enabling the Services to operate and share intelligence products more effectively in a joint environment. All Services must pursue a common path based on a set of common enterprise services consistent with the Department's net-centric vision while maintaining flexibility to support the full range of warfighter missions. Specifically, DoD charged the Air Force to lead the development, upgrade, integration, and test of common DCGS Integration Backbone (DIB) enterprise services. The DIB is a set of enterprise standards and services that enable interoperability and component reuse. All the military services are mandated to incorporate DIB interoperability standards and commit to DIB architecture as the migration path to common DCGS enterprise services. The Distributed Common Ground Systems-Imagery (DCGS-I) Testbed is an integration and test environment, used by the Services and Agency DCGS program offices to conduct integration of DCGS components and test interoperability interfaces with new sensors, applications, and net-centric operations. This testbed also supports the integration and testing of DoD DCGS components prior to introduction into the operational environment. Periodic upgrades ensure the Testbed stays current with DCGS standards and architecture. Support to OUSD(I), AF DCGS, and NATO interoperability efforts is also provided through this program element. This includes development, testing, and implementation of international standards (to include NATO standardization agreements) to ensure joint, allied, and coalition interoperability. The Common Imagery Processor effort develops a common imagery sensor processing capability within the DCGS architecture. The imagery processor accepts airborne imagery data, processes it into an exploitable format, and provides it to other elements within the weapon system and the DCGS Enterprise. Current efforts are transitioning the legacy imagery processor from a hardware/software capability to a virtual software capability, thereby improving enterprise processing capabilities. Efforts continue to keep the capability on track to handle the current sensors. Activities also include testing, development, and demonstrations integrating updated and new/emerging sensors into DCGS. Activities also include studies and analysis to support both current program planning and execution and future program planning. This program is in Budget Activity 7, Operational System Development because this budget activity includes development efforts to upgrade systems that have been fielded or have received approval for full rate production and anticipate production funding in the current or subsequent fiscal year.

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Document Details

Document Type
R2 Budgetary Justification
Publication Date
Oct 01, 2016
Source ID
0305240F_7_3600_PB_2016
Change Summary Explanation
In FY15, $3.1M cut by Congress due for forwarding financing. In FY16, $.189M taken for higher AF priorities.
Service Agency Name
Air Force

Entities

Organizations

  • United States Air Force

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Agreements
  • Air Force
  • Demonstrations
  • Environment
  • Ground Control Stations
  • Intelligence Products
  • Interoperability
  • Migration
  • Production
  • Reconnaissance
  • Resilience
  • Standardization
  • Standards
  • Surveillance
  • Test And Evaluation
  • Weapon Systems

Fields of Study

  • Computer science

Readers

  • Civilian Systems Systems Program Capability Development and Upgrade Support Activity Expense and Pay Management.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Geospatial Intelligence and Artificial Intelligence Analytics

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