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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:
2006 / 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-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: Automated Feature Extraction Capabilities for the Development of High-Resolution GEOINT Feature Data and Constructing Correlated Databases
Agency / Branch: DOD / SOCOM
Contract: H92222-07-p-0007
Award Amount: $99,980.00
 

Abstract:

Data resources available for automatic feature extraction (AFE) have expanded significantly in the last few years. Available sensor data now includes high-resolution multispectral and hyperspectral sensors, synthetic aperture radar (SAR), and accurate height measurement sensors such as LIDAR and interferometric SAR (IFSAR). Current AFE tools are unable to fuse and process all the new types of sensor data. TSC proposes a program for AFE algorithm development and testing that ingests all available sensor data, and extracts buildings, structures, road networks, and waterways. The method uses a knowledge-based expert system (KBES) that is trained with initial user interaction. The KBES methodology facilitates the fusion of multiple sensors, and also adapts easily to different combinations of sensors. TSC will develop algorithms for extracting vector features from the input raster data, and creating an output in a vector map format

Principal Investigator:

Uri Bernstein
Corporate Senior Staff
3109542200
ubernstein@tsc.com

Business Contact:

Michael Syracuse
Vice President
3015652970
msyracuse@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