Advanced Algorithms for Data Fusion with 3-D Image Reconstruction from

Award Information
Agency:
Department of Defense
Amount:
$1,000,000.00
Program:
SBIR
Contract:
HQ0006-10-C-7257
Solitcitation Year:
2008
Solicitation Number:
2008.3
Branch:
Missile Defense Agency
Award Year:
2010
Phase:
Phase II
Agency Tracking Number:
B083-039-0281
Solicitation Topic Code:
MDA08-039
Small Business Information
Intelligent Systems Research, Inc.
340 N. Westlake Blvd., Suite 118, Thousand Oaks, CA, 91362
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
068577175
Principal Investigator
 Phillip Dennis
 Chief Scientist
 (805) 409-0429
 Phillip.Dennis@isrweb.com
Business Contact
 William Cook
Title: President
Phone: (805) 573-5234
Email: William.Cook@isrweb.com
Research Institution
N/A
Abstract
Creating a real-time single integrated missile picture for defense against enemy missile attacks presents technical challenges due to both sensor measurement errors and discrimination uncertainties that arise from the nature of missile object characteristics and signatures. Successful intercept of lethal objects is critically degraded if uncertainties preclude the effective discrimination of lethal vs. non-lethal objects. A promising approach to reduce the effects of these uncertainties and enhance threat object discrimination is the use of 3-D object imaging techniques using all of the features and signature data provided from the network of distributed sensors. An integrated robust fusion process can enhance discrimination by considering the "cross correlations" that exist between data from multiple, geographically diverse networked sensors. To achieve this, the fusion process must be capable of fusing dissimilar data including radar feature data and thermal imagery from sources such as on-board missile IR sensors and STSS / PTSS.

* information listed above is at the time of submission.

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