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DTSTAMP:20221116T173546Z
UID:33E4196D-CD79-47F4-B54E-46318EA1E140
DTSTART;TZID=America/New_York:20221116T113000
DTEND;TZID=America/New_York:20221116T123000
DESCRIPTION:Abstract: Air-to-ground radar imaging via synthetic aperture ra
 dar provides an all-weather\, day-night capability to deliver fine-resolut
 ion imagery at long range. Due to the unique phenomenology of RF scatterin
 g\, interpretation of SAR imagery can be nuanced even for trained analysts
 . As radar systems have begun to explore wide-angle or even staring synthe
 tic aperture radar\, where the system dwells on a scene for a much longer 
 period of time\, the resultant data has new elements of spatial diversity 
 that can be exploited to improve SAR image interpretability. We explore se
 veral techniques for characterizing and visualizing SAR image content base
 d on wide-angle data. We present results with simulated and measured data 
 sets.\n\nCo-sponsored by: CH02038 - Dayton Section Jt Chapter\,SP01/EMB18/
 SMC28\n\nSpeaker(s): Dr. Brian D. Rigling\, \n\nAgenda: \n11:30-11:35 - In
 troduction\n\n11:35-12:05 - Technical Presentation\n\n12:05-12:15 - Q&A\n\
 n12:15-12:30 - Additional Time\, If Needed\n\nVirtual: https://events.vtoo
 ls.ieee.org/m/328951
LOCATION:Virtual: https://events.vtools.ieee.org/m/328951
ORGANIZER:michael.callahan.10@us.af.mil
SEQUENCE:11
SUMMARY:IEEE Virtual Tech Talk: Episodic Processing for Radar Image Charact
 erization
URL;VALUE=URI:https://events.vtools.ieee.org/m/328951
X-ALT-DESC:Description: <br /><p>Abstract: Air-to-ground radar imaging via 
 synthetic aperture radar provides an all-weather\, day-night capability to
  deliver fine-resolution imagery at long range. Due to the unique phenomen
 ology of RF scattering\, interpretation of SAR imagery&nbsp\;can be nuance
 d even for trained analysts. As radar systems have begun to explore wide-a
 ngle or even staring synthetic aperture radar\, where the system dwells on
  a scene for a much longer period of time\, the resultant data has new ele
 ments of spatial diversity that can be exploited to improve SAR image inte
 rpretability. We explore several techniques for characterizing and visuali
 zing SAR image content based on wide-angle data. We present results with s
 imulated and measured data sets.</p><br /><br />Agenda: <br /><p>11:30-11:
 35 - Introduction</p>\n<p>11:35-12:05 - Technical Presentation</p>\n<p>12:
 05-12:15 - Q&amp\;A</p>\n<p>12:15-12:30 - Additional Time\, If Needed</p>
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