Open Source Information Geospatial Overlay (OSIGO)

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,999.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
W31P4Q-07-C-0261
Award Id:
83212
Agency Tracking Number:
07ST1-0037
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
2041 Rosecrans Ave., Suite 245, El Segundo, CA, 90245
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
175898175
Principal Investigator:
JasonChen
Director of Research and Developmen
(310) 414-9849
jchen@geosemble.com
Business Contact:
ScottBattenburg
CFO
(310) 414-9849
sbattenburg@geosemble.com
Research Institute:
UNIV. OF SOUTHERN CALIFORNIA
Elizabeth Hisserich
Dept. of Contracts & Grants
837 West Downey Way, Room 306
Los Angeles, CA, 90089-1147
(213) 821-1106
Nonprofit college or university
Abstract
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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