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DTSTART:20230312T030000
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DTSTART:20231105T010000
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DTSTAMP:20231219T060903Z
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DTSTART;TZID=America/Los_Angeles:20230419T180000
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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\nSpe
 aker(s): Dr. Linda Moore\, \n\nVirtual: https://events.vtools.ieee.org/m/3
 57145
LOCATION:Virtual: https://events.vtools.ieee.org/m/357145
ORGANIZER:preranarane@ieee.org
SEQUENCE:4
SUMMARY:Synthetic Aperture Radar Sensing & Signal Processing Challenges
URL;VALUE=URI:https://events.vtools.ieee.org/m/357145
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>
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