Imagery Exploitation Applications of Neuroscience

Award Information
Agency:
Department of Defense
Branch
National Geospatial-Intelligence Agency
Amount:
$99,932.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
NMA401-02-C-0006
Award Id:
61053
Agency Tracking Number:
M021-0007
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Gwynedd Office Park, 716 N. Bethlehem Pike, Ste 300, Lower Gwynedd, PA, 19002
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
161162995
Principal Investigator:
James Eilbert
Project Manager
(215) 542-1400
jeilbert@chiinc.com
Business Contact:
Phil Rollhauser
Mgr, Contracts
(215) 542-1400
prollhauser@chiinc.com
Research Institution:
n/a
Abstract
"The primary objective of this effort is to develop a robust object matching system that can be applied to a variety of image exploitation needs. The analytical decisions by our proposed context aware, neural column-based image expert (CANCIE) will utilizecontext knowledge or expectations about the current "mental space," as well as imagery having an object matching component and an analysis component. CANCIE will extract and compare information about objects or a group of objects in imagery usinginnovative neuromorphic techniques. In particular, it will emulate the static organization of initial visual field response within cortical columns, as well as the evolution of the response pattern as it is modified by feedback interactions. The principlesencoded in the columnar organization that will be utilized in CANCIE include retinotopic organization, the multiplexing of information in individual neurons, and the trend toward larger visual fields with various types of spatial invariance farther alongthe visual pathway. CANCIE will support both a change detection mode and a context-sensitive, object-matching mode. An interface will be provided that will allow an image analyst to specify a set of context parameters that will impacts it processing. Theneed for systems that can reduce the workload of image and geospatial analysts is growing, and presents a variety of market opportunities. While the approach we propose is general, a CAN

* information listed above is at the time of submission.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government