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MSFF Architecture

Modern military operations and weapons systems, with their need for quick response capabilities in the face of rapidly shifting battlefied conditions, require more advanced military intelligence, surveillance, and reconnaissance to meet their objectives. Central to the problem of gathering information, specifically with regard to target images acquired from remote sensors, is the ability to extract distinguishable objects from a noisy environment.

Determining a specific property of an object is one of the most difficult tasks in remote sensor processing. The data acquired from different remote sensors have different resolution levels and reflect the different physical and geometrical properties of the "sensed" objects. This sensory data processing challenge is central to intelligence gathering for the Navy, Air Force, Department of Defense, Missile Defense Agency, and the remote sensor processing community as a whole.

KBSI's extensive experience in sensory data processing, the result of numerous government and industrial projects, was leveraged to devise and develop an innovative Multi-Spectral Feature Fusion (MSFF) framework for the automatic fusion of mission-critical data from hyper spectral data sources. This data is directly in support of the detection of evolving threat scenarios. The MSFF framework will improve target detection from data that has been obtained from sensors with a wide diapason spectrum.

MSFF's concept of operation and algorithms for multi-sensor processing and object of interest detection, association, and identification have a number of commercial applications as well. Anticipated commercial applications include healthcare systems, where MSFF could improve diagnostics for the detection of diseased tissue states, and environmental services as an alternative method for natural resources exploration and reserves estimation.