Advanced Visualization Support of Higher-Level Fusion Processes

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,949.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W15P7T-05-C-P608
Agency Tracking Number:
A043-108-2804
Solicitation Year:
2004
Solicitation Topic Code:
A04-108
Solicitation Number:
2004.3
Small Business Information
AUSTIN INFO SYSTEMS, INC.
301 Camp Craft Road, Austin, TX, 78746
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
806707899
Principal Investigator:
David Read
Sr. Software Analyst
(512) 329-6661
dread@ausinfo.com
Business Contact:
Kathleen Lossau
Director, Business Development
(512) 329-6661
lossau@ausinfo.com
Research Institution:
n/a
Abstract
Research in visualization of multi-int data to improve the fusion process has taken recently taken on multiple approaches. In particular, link analysis diagrams have become popular for visualizing relationships between friendly, threat, unknown and NGA entities. Link analysis diagrams, while powerful, are often difficult to input data, navigate, filter and visualize content. They often are not integrated with existing intelligence tools. This research will aid level 2 fusion by providing capability in the following areas: aggregation of entities from multiple perspectives, easy/dynamic grouping of entities, dynamic filtering and grouping, integration with existing intelligence data, and integration with existing intelligence products including maps. Techniques for aggregation based on features and attributes will include: Feature prediction, multivariate statistics, principal component analysis and resampling for validation. In phase I of this effort AIS will research and the best means for providing these capabilities, provide a prototype integrated with realistic or real-world data, provide a road map for transition of these capabilities into future efforts including FCS and DCGS-A. Phase II will result in the development of the prototype "Multi-INT Visualization Tools (MVTools)" that will be integrated and tested within an FCS application to demonstrate the effectiveness of the product.

* information listed above is at the time of submission.

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