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DTSTART:20231105T010000
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DTSTAMP:20230905T135219Z
UID:24567E0C-D7D3-45AE-9CDA-6B3502137B97
DTSTART;TZID=America/New_York:20230831T183000
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DESCRIPTION:Abstract: Radar offers some unique capabilities compared to oth
 er sensing phenomenologies. For example\, radar can operate at long ranges
 \, during the day and night\, and in most weather conditions. Synthetic ap
 erture radar (SAR) enables formation of 2D and 3D images of ground scenes 
 for a wide array of military and commercial applications. In this talk\, D
 r. Linda Moore will discuss current challenges in SAR signal processing\, 
 including the challenge of applying machine/deep learning techniques to SA
 R automatic target recognition (ATR). Measured and synthetic SAR data has 
 been made publicly available by the U.S. Air Force Research Laboratory and
  can assist in developing new techniques for today's SAR signal processing
  challenges. Available data sets will be associated with relevant technica
 l challenges and examples of related IEEE published work will be highlight
 ed.\n\nSpeaker(s): Dr. Linda Moore\, PhD\n\nAgenda: \n6:30 - 6:45 Virtual 
 Gathering and Settling In\n\n6:45 - 7:45 Technical Presentation Proper\n\n
 7:45 - 8:00 QnA\n\nVirtual: https://events.vtools.ieee.org/m/366626
LOCATION:Virtual: https://events.vtools.ieee.org/m/366626
ORGANIZER:dansongarcia@ieee.org
SEQUENCE:24
SUMMARY:Synthetic Aperture Radar (SAR) Sensing and Signal Processing Challe
 nges with Data Sets for Associated Research
URL;VALUE=URI:https://events.vtools.ieee.org/m/366626
X-ALT-DESC:Description: <br /><p><span style="font-weight: 400\;"><strong>A
 bstract:</strong> 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 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.
 </span></p><br /><br />Agenda: <br /><p>6:30 - 6:45&nbsp\; &nbsp\; Virtual
  Gathering and Settling In</p>\n<p>6:45 - 7:45&nbsp\; &nbsp\; Technical Pr
 esentation Proper</p>\n<p>7:45 - 8:00&nbsp\; &nbsp\; QnA</p>
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