Inverse Synthetic Aperture Radar (ISAR) Imagery Feature Extraction and Database
Agency / Branch:
DOD / NAVY
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.
Small Business Information at Submission:
CYBERNET SYSTEMS CORP.
727 Airport Boulevard Ann Arbor, MI 48108
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