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Open Source Information Geospatial Overlay (OSIGO)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-07-C-0261
Agency Tracking Number: 07ST1-0037
Amount: $98,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST071-005
Solicitation Number: N/A
Solicitation Year: 2007
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-08-16
Award End Date (Contract End Date): 2008-10-16
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
Business Contact
 Scott Battenburg
Title: CFO
Phone: (310) 414-9849
Research Institution
 Elizabeth Hisserich
Dept. of Contracts & Grants 837 West Downey Way, Room 306
Los Angeles, CA 90089-1147
United States

 (213) 821-1106
 Nonprofit College or University

There is an abundance of text documents, news articles, intelligence reports, etc. containing information that is particularly valuable in understanding and analyzing aerial/satellite imagery. These text documents can be annotated with the corresponding lat/long coordinates of the geospatial references using commercial tools, such as MetaCarta. However, this approach is 1) not scalable since new documents should continuously be annotated and 2) limited to only those geographical features that already exist in the MetaCarta gazetteer. Even if the document is annotated, numerous "links" to all the related documents from a target image is not an effective presentation method. In this project, we will develop the technology for automatically 1) finding text documents relevant to a given imagery without any a priori annotation of the documents (similar to a search engine), 2) ranking the documents based on their geospatial relevance to the imagery, 3) summarizing the documents, and 4) linking the documents to their corresponding location on the imagery. The resulting technology will allow an analyst to view a satellite image for any place in the world, automatically find and link the geospatially related documents, and then browse the summary of the documents to better understand the information shown in an image.

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

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