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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:20260204T182738Z
UID:DCE0C1A0-8B02-4E26-AD5B-CD9C97176BE5
DTSTART;TZID=Asia/Kolkata:20240621T180000
DTEND;TZID=Asia/Kolkata:20240621T193000
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 Moore \, \n\nVirtual: https://events.vtools.ieee.org/m/
 424936
LOCATION:Virtual: https://events.vtools.ieee.org/m/424936
ORGANIZER:ieee.sps.sb.iitkgp@gmail.com
SEQUENCE:19
SUMMARY:IEEE SPS SBC Webinar: Synthetic Aperture Radar (SAR) Sensing and Si
 gnal Processing Challenges with Data Sets for Associated Research (By Dr. 
 Linda Moore )
URL;VALUE=URI:https://events.vtools.ieee.org/m/424936
X-ALT-DESC:Description: <br /><p><strong>&nbsp\;</strong></p>\n<p dir="ltr"
 >Radar offers some unique capabilities compared to other sensing phenomeno
 logies. For example\, radar can operate at long ranges\, during the day an
 d night\, and in most weather conditions. Synthetic aperture radar (SAR) e
 nables 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\, including the challe
 nge of applying machine/deep learning techniques to SAR automatic target r
 ecognition (ATR). Measured and synthetic SAR data has been made publicly a
 vailable by the U.S. Air Force Research Laboratory and can assist in devel
 oping new techniques for today's SAR signal processing challenges. Availab
 le data sets will be associated with relevant technical challenges and exa
 mples of related IEEE published work will be highlighted.</p>\n<p>&nbsp\;<
 /p>
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