Automated Texture Synthesis from Multi-spectral Satellite Imagery

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-08-C-0282
Agency Tracking Number: N074-005-0062
Amount: $496,689.00
Phase: Phase II
Program: STTR
Awards Year: 2008
Solicitation Year: 2007
Solicitation Topic Code: N07-T005
Solicitation Number: N/A
Small Business Information
DIAMOND VISIONICS LLC
400 Plaza Drive, Suite-A, Vestal, NY, 13850
DUNS: 944322718
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 James Pendrys
 Sr. Software Engineer
 (607) 729-8526
 pendrys@diamondvisionics.com
Business Contact
 David Gdovin
Title: President
Phone: (607) 729-8526
Email: dgdovin@diamondvisionics.com
Research Institution
 OLD DOMINION UNIV.
 Yiannis Papelis
 ODU Research Foundation, VMASC
1030 University Boulevard
Suffolk, VA, 23435 2345
 (757) 686-6218
 Nonprofit college or university
Abstract
In Phase II, the goal is to develop software capable of producing and rendering an extremely high-fidelity synthesized environment from Landsat imagery and other sources, expanding upon the Phase I proof of concept implementation. The use of realistic synthesized terrain imagery and features will provide higher quality training, thereby increasing aircraft lifetimes by shifting training away from aircraft to simulators. This capability will also allow training to occur in areas for which imagery and other data may not be available or may be of insufficient resolution or quality. Additionally, by incorporating detailed and correlated geometric representations of other vector data sources (e.g. roads) with the synthesized imagery, the quality of the visual scene will match or even exceed that of areas for which high-resolution geo-specific imagery is available. Furthermore, by performing texture synthesis and geometry generation at run-time, the software can leverage advances in graphics processor units (GPUs), resulting in significantly higher fidelity scene generation compared to traditional approaches, without requiring significant off-line processing.

* information listed above is at the time of submission.

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