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Material Classification for Physics-Based Sensor Simulation Using Stereo-Pair…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
92607
Program Year/Program:
2009 / SBIR
Agency Tracking Number:
N092-094-0399
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: 2009
Title: Material Classification for Physics-Based Sensor Simulation Using Stereo-Pair Imagery
Agency / Branch: DOD / NAVY
Contract: N68335-09-C-0456
Award Amount: $79,818.00
 

Abstract:

Current simulators can display very detailed imagery over very large geographic training areas in both visual and sensor channels. To provide a high-fidelity sensor channel, the simulation must be physics-based, and must rely on knowledge of the material properties of the simulation area. The proposed work includes the development and evaluation of algorithms for an advanced classifier and feature extractor that uses both color/multispectral imagery and digital elevation maps. It is specifically targeted to exploit the stereo imagery from the latest generation of earth imaging satellites. The extractor uses an initial multi-scale object-based process to segment the image, followed by an expert system for object classification and feature extraction. The proposed option tasks include the exploitation of height and intensity texture, and the extraction and representation of spatial variability within a material class.

Principal Investigator:

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

Business Contact:

Lee Moyer
Vice President
7039959553
lee.moyer@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