Abstract
Much research efforts have been devoted to applying machine learning
algorithms in video imagery for object recognition. However, very
limited open literatures can be found on machine learning in radio
frequency data. Hence, this research explores application of deep
learning algorithms to the task of Automatic Target Recognition (ATR)
in synthetic aperture radar (SAR) imagery. Radar enables imaging
ground objects at far greater standoff distances. However, the
false-alarm rate of both human and machine-based radar image
recognition is unacceptably high. Existing ATR algorithms also require
impractically large computing resources for airborne applications.
The goal of our research is to advance the state-of-the-art ATR
capability by developing a more accurate, real-time, and low-power
object recognition system. We implemented Convolution Neural Network
(CNN) based SAR object recognition algorithms in GPU and energy
efficient computing systems. We received acceptable classification
accuracy on relevant SAR data. We will discuss technical challenges
and future research on radio frequency object recognition.
Speaker's Biography
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Dr. Uttam K. Majumder is a senior electronics engineer at Air Force
Research Laboratory (AFRL) and has been working there since August 2003.
His research interests include Machine Learning for object recognition,
High Performance Computing, Synthetic Aperture Radar (SAR) algorithm
development for surveillance applications, Radar Waveforms Design
and Digital Image Processing. Among various awards, Dr. Majumder has
received Air Force Distinguished Civilian Award and AFRL Science and
Technology achievement award for radar systems development.
Dr. Majumder received Bachelor of Science (BS) degree from the
Department of Computer Science, The City College of New York (CCNY)
in June 2003 graduating Summa Cum Laude. He earned an MS degree
from Air Force Institute of Technology (2007) and a Ph.D. degree
(in Electrical Engineering) from Purdue University (2014), West
Lafayette, Indiana. He also earned an MBA degree from the Wright
State University (2009). He was an adjunct faculty member at Wright State
University, Dayton, Ohio. He developed a graduate level course on
SAR Signal and Image Processing. He lectured a short course on
“SAR Signal Processing” at IEEE International Radar Conference 2010,
Washington D.C. Dr. Majumder published more than 30 technical
papers (journal and conference) in various technical proceedings
and submitted a patent application on “Orthogonal Waveforms Design”.
Dr. Majumder is a senior member of IEEE.
His website is at
https://www.majumderfoundation.org/ .
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