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Automated Feature Extraction Capabilities for the Development of…

Award Information

Agency:
Department of Defense
Branch:
Special Operations Command
Award ID:
77216
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
S062-012-0102
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Technology Service Corporation
962 Wayne Avenue Suite 800 Silver Spring, MD 20910-4453
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: Automated Feature Extraction Capabilities for the Development of High-Resolution GEOINT Feature Data and Constructing Correlated Databases
Agency / Branch: DOD / SOCOM
Contract: H92222-08-C-0010
Award Amount: $749,970.00
 

Abstract:

The Phase I program demonstrated the feasibility of using optical and LIDAR data to accurately extract structures, vertical obstructions, power lines, and road networks. In the Phase II program, TSC proposes to further develop the extraction techniques, and to develop prototype software at TRL level 6. The software will use a knowledge-based expert system (KBES) for classification, trained with initial user interaction. The KBES methodology facilitates the fusion of multiple sensors, and also adapts easily to different combinations of sensor coverage. Features will be extracted in a vector format consistent with SOCOM's Common Database (CDB) and will include structures, vertical obstructions, power line networks, road networks, and waterway networks. The software will be designed to operate in SOCOM's Database Generation Facility (DBGF), and will interoperate with the other DBGF tools in the database generation process.

Principal Investigator:

Uri Bernstein
Corporate Senior Staff
3109542200
uri.bernstein@tsc.com

Business Contact:

Michael Syracuse
Chief Financial Officer
3015650306
mike.syracuse@tsc.com
Small Business Information at Submission:

TECHNOLOGY SERVICE CORP.
1900 S. Sepulveda Blvd Suite 300 Los Angeles, CA 90025

EIN/Tax ID: 954399083
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No