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DTSTAMP:20231129T180615Z
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DTSTART;TZID=America/New_York:20231129T120000
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DESCRIPTION:Please join IEEE Dayton Signal Processing Society in welcoming 
 2023 IEEE Distinguished Industry Speaker Dr. Linda Moore!\n\nRadar offers 
 some unique capabilities compared to other sensing phenomenologies. For ex
 ample\, radar can operate at long ranges\, during the day and night\, and 
 in most weather conditions. Synthetic aperture radar (SAR) enables formati
 on of 2D and 3D images of ground scenes for a wide array of military and c
 ommercial applications. In this talk\, Dr. Linda Moore will discuss curren
 t challenges in SAR signal processing\, including the challenge of applyin
 g machine/deep learning techniques to SAR automatic target recognition (AT
 R). Measured and synthetic SAR data has been made publicly available by th
 e U.S. Air Force Research Laboratory and can assist in developing new tech
 niques for today's SAR signal processing challenges. Available data sets w
 ill be associated with relevant technical challenges and examples of relat
 ed IEEE published work will be highlighted.\n\nSpeaker(s): Dr. Linda Moore
 \n\nVirtual: https://events.vtools.ieee.org/m/374409
LOCATION:Virtual: https://events.vtools.ieee.org/m/374409
ORGANIZER:holly.zelnio@ieee.org
SEQUENCE:9
SUMMARY:IEEE Distinguished Industry Speaker Dr. Linda Moore - Synthetic Ape
 rture Radar (SAR) Signal Processing Challenges and Data Sets for Associate
 d Research
URL;VALUE=URI:https://events.vtools.ieee.org/m/374409
X-ALT-DESC:Description: <br /><p><span class="ui-provider fy b c d e f g h 
 i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak" dir="ltr">
 Please join IEEE Dayton Signal Processing Society in welcoming 2023 IEEE D
 istinguished Industry Speaker Dr. Linda Moore!&nbsp\;</span></p>\n<p><span
  class="ui-provider fy b c d e f g h i j k l m n o p q r s t u v w x y z a
 b ac ae af ag ah ai aj ak" dir="ltr"> Radar offers some unique capabilitie
 s compared to other sensing phenomenologies. For example\, radar can opera
 te at long ranges\, during the day and night\, and in most weather conditi
 ons. Synthetic aperture 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 sig
 nal processing\, including the challenge of applying machine/deep learning
  techniques to SAR automatic target recognition (ATR). Measured and synthe
 tic SAR data has been made publicly available by the U.S. Air Force Resear
 ch Laboratory and can assist in developing new techniques for today's SAR 
 signal processing challenges. Available data sets will be associated with 
 relevant technical challenges and examples of related IEEE published work 
 will be highlighted.</span></p>
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