Decisive Analytics to develop real-time target and typing manifold algorithm for USAF


Decisive Analytics has been contracted to develop a real-time target and typing (RTDT) manifold algorithm for the US Air Force's Space and Missile Center's Remote Sensing (SMC / RS) Systems Directorate.

The small business innovation research (SBIR) Phase III contract requires the company to integrate its algorithms into the Tools, Applications, and Processing (TAP) lab's open framework architecture to provide real-time target detection and typing.

Decisive Analytics intelligent systems vice-president Richard Adleson said: "The TAP lab creates a unique opportunity for algorithmic innovation and test on real and archived sensor data.”

"The algorithms at the OBAC are used by the 460th Space Wing for daily battlespace awareness operations."

The Exploitation Capabilities Division of SMC/RS supports the development and deployment of capabilities in the new Overhead Persistent Infrared (OPIR) Battlespace Awareness Center (OBAC).

The facility has been designed to deliver real-time OPIR battlespace awareness capabilities to warfighters.

The algorithms at the OBAC are used by the 460th Space Wing for daily battlespace awareness operations.

Work under the contract provides machine learning expertise for automatic target recognition for the SMC / RS Systems Directorate.

In October last year, the company was awarded a contract by Office of Naval Research (ONR) to develop the SEMantic Powered Event Reasoning (SEMPER) system.

The SEMPER system enables warfighter to perform analytics and aids in decision making through the utilisation of disparate, multi-modal data.

The company delivers its products and services to commercial businesses, the US Department of Defense, the Intelligence Community, and a wide range of other government agencies.