Inverse Synthetic Aperture Radar (ISAR) Imagery Feature Extraction and Database

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,979.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
N68335-07-C-0346
Agency Tracking Number:
N071-044-0550
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
CYBERNET SYSTEMS CORP.
727 Airport Boulevard, Ann Arbor, MI, 48108
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
197187602
Principal Investigator:
Glenn Beach
Research Engineer
(734) 668-2567
gbeach@cybernet.com
Business Contact:
Charles Cohen
VP Research and Development
(734) 668-2567
proposals@cybernet.com
Research Institution:
n/a
Abstract
The U.S. military uses a wide range of sensing modalities for collecting data with which to perform automatic target recognition (ATR) and classification. ATR is a crucial capability for today's weapons systems and is used for guiding smart munitions as well as tracking assets or entities of interest. The available sensor modalities include Synthetic Aperture Radar (SAR), Inverse SAR (ISAR), High Resolution Radar (HRR), and Electro-Optical/Infrared (EO/IR), among others. While significant ATR packages have been researched and developed for the individual sensor modalities, no significant effort has been undertaken to create a single ATR method to extract information from all of these disparate data sources. Cybernet proposes to leverage an orientation invariant ATR technique that we developed for EO/IR data for the Navy to develop a new ATR system for use with all data types. This technique combines the power of modern computer graphics with standard ATR concepts to create a very flexible recognition and classification system.

* information listed above is at the time of submission.

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