Geosemble Technologies

841 Apollo Street, Suite 400
El Segundo, CA 90245
http://www.geosemble.com
5 Employees

SBIR Award Summary

Total Number of Awards 5
Total Value of Awards $1.79MM
First Award Date 09/14/06
Most Recent Award Date 09/29/09

Key Personnel

Last Name Name Awards Contact
Chen Dr. Ching-Chien Chen 2 Message
Battenburg Mr. Scott Battenburg 4
Chen Dr. Jason Chen 3 Message

5 Awards Won

Phase 2 STTR

Institution: University of Southern California

Agency: Defense Advanced Research Projects Agency
Topic: ST071-005
Budget: 09/29/09 - 12/31/11

The objective of this project is to develop a capability to automatically link news articles to satellite imagery and then to display summaries of the linked articles. In Phase I of this effort, we developed an initial approach to automatically link news articles to geographic locations and then cluster and summarize the linked articles. In our...

Phase 2 STTR

Institution: University of Southern California

Agency: Air Force
Topic: AF06-T004
Budget: 10/10/07 - 10/10/09

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 m...

Phase 1 STTR

Institution: University of Southern California

Agency: Defense Advanced Research Projects Agency
Topic: ST071-005
Budget: 08/16/07 - 10/16/08

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. ...

Phase 1 SBIR

Agency: National Science Foundation
Topic: 2007
Budget: 01/01/07 - 12/31/07

This Small Business Innovation Research Phase I project will conduct a feasibility study to demonstrate that by combining currently available high-resolution imagery, geospatial data (e.g., parcel data or structure data), and other related online data sources (e.g., property tax data or census data), it is possible to automatically generate high...

Phase 1 STTR

Institution: University of Southern California

Agency: Air Force
Topic: AF06-T004
Budget: 09/14/06 - 06/14/06

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 the proposed project, we propose to develop the technology ...