Hierarchical Image Processing for CSO Resolution

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-06-C-7330
Agency Tracking Number: 044-0230
Amount: $750,000.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solitcitation Year: 2004
Solitcitation Topic Code: MDA04-157
Solitcitation Number: 2004.4
Small Business Information
PO Box 271246, Ft. Collins, CO, 80527
Duns: 956324362
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Allison Floyd
 Program Manager I
 (970) 419-8343
Business Contact
 Jeff Poore
Title: VP/COO
Phone: (970) 419-8343
Email: jbpoore@numerica.us
Research Institution
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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