Radio Frequency (RF) Target Classification
(i.e., Synthetic Aperture Radar/SAR data, communication signals) imagery and signals. Video starts @08:35.
This webinar will present modern deep learning (DL) techniques for radio frequency (RF) imagery and signals (i.e., Synthetic Aperture Radar/SAR data, communication signals) classification. First, Dr. Majumder will provide a short overview of machine learning (ML)/DL theory and an understanding of SAR imagery and RF signals. Then he will demonstrate detailed algorithmic implementation and performance of DL algorithms on classifying SAR data and RF signals. Dr. Majumder will present recent research results, technical challenges, and directions of DL-based object classification for RF sensing. Finally, he will cover adversarial attacks and mitigation techniques involving DL-based RF object recognition. The Cyber Security and Information Systems Information Analysis Center (CSIAC) is a Department of Defense (DoD) Information Analysis Center (IAC) sponsored by the Defense Technical Information Center (DTIC).