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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20230921T064843Z
UID:503E4051-7D1D-48ED-A449-1D76ACA36C4B
DTSTART;TZID=Asia/Kolkata:20230914T180000
DTEND;TZID=Asia/Kolkata:20230914T190000
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\nSpe
 aker(s): Dr. Linda J. Moore \, \n\nVirtual: https://events.vtools.ieee.or
 g/m/373138
LOCATION:Virtual: https://events.vtools.ieee.org/m/373138
ORGANIZER:ieee.sps.sb.iitkgp@gmail.com
SEQUENCE:31
SUMMARY:IEEE SPS SBC Webinar: Synthetic Aperture Radar (SAR) Signal Process
 ing Challenges and Data Sets for Associated Research (By Dr. Linda J. Moor
 e)
URL;VALUE=URI:https://events.vtools.ieee.org/m/373138
X-ALT-DESC:Description: <br /><p><span style="font-weight: 400\;">Radar off
 ers some unique capabilities compared to other sensing phenomenologies. Fo
 r example\, radar can operate at long ranges\, during the day and night\, 
 and in most weather conditions. Synthetic aperture radar (SAR) enables for
 mation of 2D and 3D images of ground scenes for a wide array of military a
 nd commercial applications. In this talk\, Dr. Linda Moore will discuss cu
 rrent challenges in SAR signal processing\, including the challenge of app
 lying machine/deep learning techniques to SAR automatic target recognition
  (ATR). Measured and synthetic SAR data has been made publicly available b
 y the U.S. Air Force Research Laboratory and can assist in developing new 
 techniques for today's SAR signal processing challenges. Available data se
 ts will be associated with relevant technical challenges and examples of r
 elated IEEE published work will be highlighted.</span></p>
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