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

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-07-C-0346
Agency Tracking Number: N071-044-0550
Amount: $79,979.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N07-044
Solicitation Number: 2007.1
Solicitation Year: 2007
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-05-09
Award End Date (Contract End Date): 2007-11-09
Small Business Information
727 Airport Boulevard
Ann Arbor, MI 48108
United States
DUNS: 197187602
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Glenn Beach
 Research Engineer
 (734) 668-2567
Business Contact
 Charles Cohen
Title: VP Research and Development
Phone: (734) 668-2567
Research Institution

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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