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DTSTAMP:20231025T002539Z
UID:EEED758E-0F2B-42EC-B04E-232069BA580A
DTSTART;TZID=US/Eastern:20231018T120000
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DESCRIPTION:Radar offers some unique capabilities compared to other sensing
  phenomenologies. For example\, radar can operate at long ranges\, during 
 the day and night\, and in most weather conditions. Synthetic aperture rad
 ar (SAR) enables formation of 2D and 3D images of ground scenes for a wide
  array of military and commercial applications. In this talk\, Dr. Linda M
 oore will discuss current challenges in SAR signal processing\, including 
 the challenge of applying machine/deep learning techniques to SAR automati
 c target recognition (ATR). Measured and synthetic SAR data has been made 
 publicly available by the U.S. Air Force Research Laboratory and can assis
 t in developing new techniques for today's SAR signal processing challenge
 s. Available data sets will be associated with relevant technical challeng
 es and examples of related IEEE published work will be highlighted.\n\nCo-
 sponsored by: Fairleigh Dickinson University\n\nSpeaker(s): Dr. Linda Moor
 e\, \n\nAgenda: \nRadar offers some unique capabilities compared to other 
 sensing phenomenologies. For example\, radar can operate at long ranges\, 
 during the day and night\, and in most weather conditions. Synthetic apert
 ure radar (SAR) enables formation of 2D and 3D images of ground scenes for
  a wide array of military and commercial applications. In this talk\, Dr. 
 Linda Moore will discuss current challenges in SAR signal processing\, inc
 luding the challenge of applying machine/deep learning techniques to SAR a
 utomatic target recognition (ATR). Measured and synthetic SAR data has bee
 n made publicly available by the U.S. Air Force Research Laboratory and ca
 n assist in developing new techniques for today's SAR signal processing ch
 allenges. Available data sets will be associated with relevant technical c
 hallenges and examples of related IEEE published work will be highlighted.
 \n\nVirtual: https://events.vtools.ieee.org/m/368250
LOCATION:Virtual: https://events.vtools.ieee.org/m/368250
ORGANIZER:tan@fdu.edu
SEQUENCE:55
SUMMARY:Synthetic Aperture Radar (SAR) Signal Processing Challenges and Dat
 a Sets for Associated Research
URL;VALUE=URI:https://events.vtools.ieee.org/m/368250
X-ALT-DESC:Description: <br /><p>Radar offers some unique capabilities comp
 ared to other sensing phenomenologies. For example\, radar can operate at 
 long ranges\, during the day and night\, and in most weather conditions. S
 ynthetic aperture radar (SAR) enables formation of 2D and 3D images of gro
 und scenes for a wide array of military and commercial applications. In th
 is talk\, Dr. Linda Moore will discuss current challenges in SAR signal pr
 ocessing\, including the challenge of applying machine/deep learning techn
 iques to SAR automatic target recognition (ATR). Measured and synthetic SA
 R data has been made publicly available by the U.S. Air Force Research Lab
 oratory and can assist in developing new techniques for today's SAR signal
  processing challenges. Available data sets will be associated with releva
 nt technical challenges and examples of related IEEE published work will b
 e highlighted.</p><br /><br />Agenda: <br /><p>Radar offers some unique ca
 pabilities compared to other sensing phenomenologies. For example\, radar 
 can operate at long ranges\, during the day and night\, and in most weathe
 r conditions. Synthetic aperture radar (SAR) enables formation of 2D and 3
 D images of ground scenes for a wide array of military and commercial appl
 ications. In this talk\, Dr. Linda Moore will discuss current challenges i
 n SAR signal processing\, including the challenge of applying machine/deep
  learning techniques to SAR automatic target recognition (ATR). Measured a
 nd synthetic SAR data has been made publicly available by the U.S. Air For
 ce Research Laboratory and can assist in developing new techniques for tod
 ay's SAR signal processing challenges. Available data sets will be associa
 ted with relevant technical challenges and examples of related IEEE publis
 hed work will be highlighted.</p>
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