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Methodologies for a Partial Frame Correlation of Multiple Sensors

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
B112-004-0455
Solicitation Year:
2011
Solicitation Topic Code:
MDA11-004
Solicitation Number:
2011.2
Small Business Information
MODERN TECHNOLOGY SOLUTIONS, INC.
5285 SHAWNEE ROAD SUITE 400 ALEXANDRIA, VA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Methodologies for a Partial Frame Correlation of Multiple Sensors
Agency: DOD
Contract: HQ0147-12-C-7855
Award Amount: $99,406.00
 

Abstract:

In order to provide the highest level Quality of Service (QoS) for both tracking and discrimination functions it is imperative that information from all sensors be associated correctly. Due to potential bandwidth, latency and timeline impacts, it may be necessary to limit downlinked Airborne Infrared (ABIR) data to portions of the focal plane around exceedances of interest. As a result, we propose to exploit these partial frame chips to aid in the sensor to sensor correlation problem. The author proposes a novel set of algorithms that work in two phases. The first phase will provide robust sensor to sensor correlation in the absence of partial frames using a multiple hypothesis algorithm with the ability to flag cases where solutions are ambiguous. In the cases where ambiguous solutions exist, phase two will exploit the partial frame chips in order to provide a unique solution. The algorithm suite will draw from previously developed image processing algorithms to provide the best possible super-resolution of the partial frames and industry leading correlation algorithms specifically designed for EO/IR assets. Through the use of multi-hypothesis algorithms exercised on partial frames, it will be possible to overcome the ambiguities associated with the sensor to sensor correlation problem.

Principal Investigator:

Jorge O'Farrill
Principle Investigator
(256) 467-6767
jorge.ofarrill@mtsi-va.com

Business Contact:

Ann R. Byrd
Director of Contracts
(703) 564-0589
ann.byrd@mtsi-va.com
Small Business Information at Submission:

MODERN TECHNOLOGY SOLUTIONS, INC.
5285 SHAWNEE ROAD SUITE 400 ALEXANDRIA, VA -

EIN/Tax ID: 541670018
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No