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Automatic Extrusion of Surface Features from Terrain Aerial/Satellite Imagery

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
64655
Program Year/Program:
2004 / SBIR
Agency Tracking Number:
N022-1382
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
SIMWRIGHT, INC.
2053 Fountain Professional Court Suite A Navarre, FL -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2004
Title: Automatic Extrusion of Surface Features from Terrain Aerial/Satellite Imagery
Agency / Branch: DOD / NAVY
Contract: N61339-04-C-0101
Award Amount: $749,917.00
 

Abstract:

The purpose of this SBIR topic is to explore and implement technologies capable of automatically extracting three dimensional feature sets from aerial imagery. Successful implementation of these technologies will speed the process and decrease the cost of developing complex, geospatially accurate databases for military training and mission rehearsal. In Phase I of this SBIR effort, SimWright successfully demonstrated the ability to automatically identify and extract geospatially referenced three-dimensional cultural features. The capability of these algorithms was demonstrated using both aerial and satellite imagery and the process is compatible with a broad range of both commercial and national means imagery formats. Phase II implementation requires creation of functions that can be integrated into commercial applications used for terrain database generation. Research will be conducted to develop applications with the following functionality: 1)An automated feature modeler; 2)An automated large area building extractor;3)An automated single building extractor; 4)An automated feature attribution; 5)Enhancements to an existing Complex Building; Generator; and 6) Development of a feature model/database previewer for use in an existing terrain database application Phase I focused on spatial feature extraction parameters. In Phase II there will be emphasis on spectral feature parameters for automated feature attribution.

Principal Investigator:

Eric Lester
Director of Geospatial Im
2568829144
eric@simwright.com

Business Contact:

Kerry Christopher
President
8509398707
kerry@simwright.com
Small Business Information at Submission:

SIMWRIGHT, INC.
9344 Navarre Parkway Navarre, FL 32566

EIN/Tax ID: 593441803
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No