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TZID:America/Denver
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DTSTART:20200308T030000
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TZOFFSETTO:-0600
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DTSTART:20201101T010000
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DTSTAMP:20201107T041427Z
UID:99ED3D6B-62DC-4550-B3B7-810B1DD8DAB5
DTSTART;TZID=America/Denver:20201015T130000
DTEND;TZID=America/Denver:20201015T140000
DESCRIPTION:Statistics has a prominent role in SAR - Synthetic Aperture Rad
 ar image processing and analysis. More often than not\, these data cannot 
 be described by the usual additive Gaussian noise model. Rather than that\
 , a multiplicative signal-dependent representation adequately models the o
 bservations. After summarizing the main distributions for both the univari
 ate (intensity and amplitude) and multivariate (fully polarimetric) image 
 formats\, we present eight seemingly different problems\, and how they can
  be formulated and solved in an unified manner from a statistical viewpoin
 t using Information Theory and Information Geometry.\n\nCo-sponsored by: U
 niversity of Colorado\, Boulder\n\nSpeaker(s): Dr. Alejandro Frery\, \n\nA
 genda: \nThis meeting is joint with fellow researchers in the San Francisc
 o Bay Area\n\nVirtual: https://events.vtools.ieee.org/m/241914
LOCATION:Virtual: https://events.vtools.ieee.org/m/241914
ORGANIZER:w.neill.kefauver@lmco.com
SEQUENCE:5
SUMMARY:Covid Format GRSS/IEEE Denver Technical Meeting
URL;VALUE=URI:https://events.vtools.ieee.org/m/241914
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Statistics has a prominent role in SAR - S
 ynthetic Aperture Radar image processing and analysis. More often than&amp;nbs
 p\;not\, these data cannot be described by the usual additive Gaussian noi
 se model. Rather than that\, a multiplicative signal-dependent representat
 ion adequately models the observations. After summarizing the main distrib
 utions for&amp;nbsp\;both the univariate (intensity and amplitude) and multiva
 riate (fully polarimetric) image formats\, we present eight seemingly diff
 erent problems\, and how they can be formulated and solved in an unified m
 anner from a statistical viewpoint using Information Theory and Informatio
 n Geometry.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;This meeting is joint with fel
 low researchers in the San Francisco Bay Area&lt;/p&gt;
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