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Exploiting Raster Maps for Imagery Analysis

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-08-C-0010
Agency Tracking Number: F064-004-0036
Amount: $742,459.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: AF06-T004
Solicitation Number: N/A
Timeline
Solicitation Year: 2006
Award Year: 2008
Award Start Date (Proposal Award Date): 2007-10-10
Award End Date (Contract End Date): 2009-10-10
Small Business Information
2041 Rosecrans Ave., Suite 245
El Segundo, CA 90245
United States
DUNS: 175898175
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jason Chen
 Director of Research and Developmen
 (310) 414-9849
 jchen@geosemble.com
Business Contact
 Scott Battenburg
Title: CFO
Phone: (310) 414-9849
Email: sbattenburg@geosemble.com
Research Institution
 UNIV. OF SOUTHERN CALIFORNIA
 Elizabeth Hisserich
 
Department of Contracts and Gr 837 West Downey Way, Room 306
Los Angeles, CA 90089-1147
United States

 (213) 821-1106
 Nonprofit College or University
Abstract

Maps are an incredibly rich source of information, but the information contained in a map is often locked up in a raster image. Sometimes the original source data used to create the map is available, but more often than not this information has either been lost or is not available. In this project, we plan to develop the technology that will make it possible to exploit the huge number of raster maps available and use them for imagery analysis. In particular, we will develop the technology for automatically finding online raster maps, automatically aligning the raster maps with satellite imagery, and automatically extracting the information contained in a map, such as transportation networks, hydrographic layers, and the textual labels on the information. The resulting technology will allow an analyst to view a satellite image for any place in the world, automatically find and align the maps covering that region, and then overlay selected layers from the map to better understand the information shown in an image.

* Information listed above is at the time of submission. *

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