Hierarchical Image Processing for CSO Resolution

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$750,000.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
HQ0006-06-C-7330
Agency Tracking Number:
044-0230
Solicitation Year:
2004
Solicitation Topic Code:
MDA04-157
Solicitation Number:
2004.4
Small Business Information
NUMERICA CORPORATION
PO Box 271246, Ft. Collins, CO, 80527
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
956324362
Principal Investigator:
Allison Floyd
Program Manager I
(970) 419-8343
lafloyd@numerica.us
Business Contact:
Jeff Poore
VP/COO
(970) 419-8343
jbpoore@numerica.us
Research Institution:
n/a
Abstract
Observation of closely-spaced objects using limited-resolution infrared sensor systems can result in merged measurements, which can hamper the performance of both tracking algorithms and discrimination. Algorithms intended to improve image resolution capability are often processor-intensive. This can limit their applicability for space systems onboard processing, particularly in the short timelines associated with kinetic interceptors. We propose to develop an algorithm for resolution of closely-spaced objects using a hierarchy of spatial filters, deconvolution, and constructive particle distribution with Expectation Maximization (EM) clustering. With this hierarchy, we expect to provide improved object resolution while conforming to space system processing time constraints.

* information listed above is at the time of submission.

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