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

Award Information

Agency:
Department of Defense
Branch:
Missile Defense Agency
Award ID:
91598
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
B083-039-0281
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Intelligent Systems Research, Inc.
340 N. Westlake Blvd., Suite 118 Thousand Oaks, CA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Advanced Algorithms for Data Fusion with 3-D Image Reconstruction from
Agency / Branch: DOD / MDA
Contract: HQ0006-09-C-7162
Award Amount: $99,531.00
 

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 IR sensors and SBIRS. An effective fusion approach that includes 3-D imaging must fit within processor throughput and network communication bandwidth constraints. Thus, a key consideration in multi-sensor fusion using distributed data is the Value of Information (VOI) of reported data and cost in terms of processor and network resources required to collect and disseminate the data.

Principal Investigator:

Phillip W. Dennis
Senior Scientist
8054090429
Phillip.Dennis@isrweb.com

Business Contact:

William J. Cook
President
8054090429
William.Cook@isrweb.com
Small Business Information at Submission:

INTELLIGENT SYSTEMS RESEARCH, INC.
3390 Auto Mall Drive Thousand Oaks, CA 91362

EIN/Tax ID: 954740547
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No