Exploiting Raster Maps for Imagery Analysis

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,944.00
Award Year:
2006
Program:
STTR
Phase:
Phase I
Contract:
FA9550-06-C-0075
Award Id:
77895
Agency Tracking Number:
F064-004-0143
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
DBA, IAVO Research and Scientific, 1010 Gloria Ave, Durham, NC, 27701
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
059333349
Principal Investigator:
Eric Lester
VP
(919) 433-2412
elester@iavo-rs.com
Business Contact:
Matthew Heric
CEO
(919) 433-2402
mheric@iavo-rs.com
Research Institution:
U. OF UTAH, SCHOOL OF COMPUTING
Tom Henderson
50 S. Central Campus Dr.
Salt Lake City, UT, 84112
(801) 581-3601
Nonprofit college or university
Abstract
The US Air Force seeks innovative technologies to exploit available map data to provide a contextual backdrop for imagery. This contextual backdrop will allow the imagery analyst to more rapidly and accurately exploit the data for further processing. Maps provide a wealth of information, such as road delineations, road names, buildings, and other cultural features which comprise the contextual backdrop for an image. In short, the desired capability should allow the analyst to rapidly "know where they are" in an image and increase their daily throughput of images without sacrificing accuracy. Accordingly, we propose to develop ContextMAX which adheres closely to the stated requirements and leverages our 20+ years of successful imagery processing development and operational transitioning. ContextMAX will incorporate novel robot-mapping techniques for performing automated map analysis, advanced tie-point extraction from imagery, and multi-source registration to create a correlated scene providing the necessary contextual backdrop to imagery analyst for a given image. By this, ContextMAX represents an innovative, low-risk solution for improved contextual awareness to the imagery analyst as well as producing modular geospatial data management and extraction techniques useful to a number of remote sensing and GIS applications.

* information listed above is at the time of submission.

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