Hierarchical Image Processing for CSO Resolution

Award Information

Agency: Department of Defense	Branch: Missile Defense Agency	Award ID: 74728	Program Year/Program: 2005 / SBIR
Agency Tracking Number: 044-0230	Solicitation Year: N/A	Solicitation Topic Code: N/A	Solicitation Number: N/A

Small Business Information: Numerica Corporation
4850 Hahns Peak Drive Suite 200 Loveland, CO -
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Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No

Phase 1: Fiscal Year: 2005

Title: Hierarchical Image Processing for CSO Resolution

Agency / Branch: DOD / MDA

Contract: HQ0006-05-C-7144

Award Amount: $99,967.00

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.

Principal Investigator:
Benjamin Slocumb
Senior Scientist
9704198343
bjslocumb@numerica.us

Business Contact:
Jeff Poore
Vice President
9704198343
jbpoore@numerica.us

Small Business Information at Submission:

NUMERICA CORP.
PO Box 271246 Ft. Collins, CO 80527

EIN/Tax ID: 841349484

DUNS: N/A

Number of Employees:

Woman-Owned: No

Minority-Owned: No

HUBZone-Owned: No