3D ISAR: Techniques and applications
In maritime radar, Inverse Synthetic Aperture Radar (ISAR) is used to image targets with classification typically performed by a radar operator. The three-dimensional (3D)-ISAR was developed as an alternative representation with the target represented by a 3D point cloud, instead of the traditional range/Doppler image. This talk will describe a number of different reconstruction techniques and demonstrate how the improved localization can be used to enhance target classification.
Instructor
Luke Rosenberg
Luke Rosenberg (Senior Member, IEEE) received a bachelor’s degree in electrical and electronic engineering, a master’s degree in signal and information processing, and a Ph.D. degree from the University of Adelaide, Adelaide, Australia, in 1999, 2001, and 2007, respectively. In 2016, he completed the Graduate Program in Scientific Leadership at the University of Melbourne, Australia. He is currently an adjunct Associate Professor with the University of Adelaide and a Research Specialist at the Defence Science and Technology Group, Australia. His work covers the areas of radar image formation, classification, adaptive filtering, detection theory, and radar and clutter modeling. In 2014, he spent 12 months with the U.S. Naval Research Laboratory (NRL) working on algorithms for focusing moving scatterers in synthetic aperture radar imagery. Dr. Rosenberg has received a number of best paper awards, the prestigious Defence Science and Technology Achievement Award for Science and Engineering Excellence in 2016 and the IEEE AESS Fred Nathanson award in 2018 for ‘Fundamental Experimental and Theoretical Work in Characterizing Radar Sea Clutter’. He is currently the IEEE South Australian Chair, a member of the AESS board of governors and radar systems panel, a distinguished lecturer for the AESS, and an associate editor for the Transactions of Aerospace and Electronic Systems. He has over 150 publications including a recent book: Radar Sea Clutter: Modelling and Detection.
Publication Year: 2023