F-22 Data Compression

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$749,971.00
Award Year:
2005
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-05-C-4312
Agency Tracking Number:
F041-101-1067
Solicitation Year:
2004
Solicitation Topic Code:
AF04-101
Solicitation Number:
2004.1
Small Business Information
DEFENSE RESEARCH ASSOCIATES, INC.
3915 Germany Lane, Suite 102, Beavercreek, OH, 45431
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
044329761
Principal Investigator:
James Utt
Principal Investigator
(937) 431-1644
jutt@dramail.com
Business Contact:
Ray Trimmer
Executive Vice President
(937) 431-1644
rtrimmer@dramail.com
Research Institution:
n/a
Abstract
The F-22 Data Compression program addresses the problem of the insufficient imagery storage capacity of the F-22. This impacts the ability of the aircraft to deploy munitions or transfer imagery for tactical planning. The imagery capacity of the targeting system is significantly smaller than the area of operations thus restricting the ability to attack targets. For reconnaissance operations, due to the large size of the images, the amount of data that can be recorded is limited and must be manually processed and distributed. The data compression algorithms used by the DRA/UtopiaCompression team will allow the F-22 SAR imagery to be compressed using a pattern driven approach whereby images and, specifically, regions in images with defined visual characteristics are considered as relational entities, classifiable according to the presence or absence of patterns, their relationships, and the frequency of their occurrence. The algorithm seeks to minimize the set of extracted features with the application of statistical machine learning to extract features and model patterns. The codec is trained on such patterns to “learn” their nature so that variable-sized segments of the image can be accurately reconstructed. The algorithm results in a five to ten fold improvement over JPEG compression technology.

* information listed above is at the time of submission.

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