Embedded automatic object recognition for synthetic aperture radar

Abstract

Modern synthetic aperture radar systems are capable of capturing wide swaths at very high resolutions, resulting in an immense amount of raw data to process. Even after image reconstruction, transmitting the complex imagery from the platform to a secondary processing site for object extraction can present significant challenges, especially when the platform is subject to emission control measures. This presentation will address methods for performing automatic object recognition on low SWaP-C systems and the associated challenges with respect to accuracy and robustness.

Date
Mar 17, 2020
Location
Alan Turing Institute
The British Library, 96 Euston Road, NW1 2DB
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Michael Woollard
PhD Student

My research interests include synthetic aperture radar, automatic target recognition and electronic warfare.