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DTSTAMP:20220220T081631Z
UID:7D1CF3C9-3617-466A-B4F8-B03C1D6F08A1
DTSTART;TZID=CET:20210830T083000
DTEND;TZID=CET:20210902T163000
DESCRIPTION:On behalf of the IEEE Geoscience and Remote Sensing Society (GR
 SS) Turkey Chapter\, we are pleased to invite you to the 4th Earth Observa
 tions Applications Summer School\, UYGU2021\, which will be held from Augu
 st 30 to September 2\, 2021\, in a virtual environment.\n\nUYGU2021 is org
 anized by the IEEE GRSS Turkey Chapter\, with the support of GRSS Benelux 
 and GRSS Switzerland Chapters\, and with the sponsorship of IEEE GRSS. The
  theme for UYGU2021 is set as &quot;Deep Learning for Remote Sensing&quot;.\n\nDeep 
 learning presents promising opportunities to meet the challenges of remote
  sensing\, and UYGU2021 seeks to highlight the latest developments and tre
 nds in the used of deep learning for remote sensing related studies. Deep 
 learning for feature extraction\, classification of hyperspectral images\,
  SAR data analysis\, fusion\, and multitemporal and multisource data analy
 sis are some of the topics that will be covered in the summer school. The 
 organizers anticipate a technically outstanding summer school\, with the c
 arefully formed technical program and the exceptional invited lecturers. U
 YGU2021 is primarily aimed at graduate students\, faculty staff\, and rese
 archers who wish to stay current on recent discoveries and future trends o
 n deep learning topics dealing with remote sensing. However\, there are no
  prerequisites for attendance. The summer school is free of charge and ope
 n to all interested participants who register.\n\nRegistration is now open
 . Please visit the UYGU2021 website https://grssturkey.org/en/uygu2021 for
  more details and do not hesitate to broadcast this information around you
 .\n\nWe look forward to meeting you during UYGU2021\,\n\nUYGU2021 Organiza
 tion Commitee\n\nCo-sponsored by: IEEE GRSS\n\nSpeaker(s): Berrin Yanıko
 ğlu\, Behnood Rasti\n\nAgenda: \nIEEE GRSS Turkey Chapter is pleased to i
 nvite you to the Fourth Earth Observation Applications Summer School\, UYG
 U2021\, with the theme “Deep Learning for Remote Sensing”.\n\nUYGU2021
  will be hosted in a virtual environment between the dates of August 30 
 – September 2\, 2021. UYGU2021 is organized by the IEEE GRSS Turkey Chap
 ter\, with the support of IEEE GRSS Benelux and IEEE GRSS Switzerland Chap
 ters\, and with the sponsorship of IEEE GRSS under the ChapNet program.\n\
 nIn the four day summer school\, experts in their fields will give lecture
 s on the topics given below.\n\nDeep feature extraction and classification
  for hyperspectral imagery\n\nDeep mining and fusion for image interpretat
 ion in remote sensing\n\nDeep learning: From remotely sensed data to geo-s
 patial semantic information\n\nMultitemporal\, multisource and mulltiscale
  remote sensing in the era of deep learning\n\nDeep Learning in Remote Sen
 sing: Good Practices and Solutions for Complex Data\n\nDeep Learning for S
 AR Processing and Analysis\n\nWe wish you a productive summer school exper
 ience.\n\nIEEE GRSS Turkey Chapter\n\nVirtual: https://events.vtools.ieee.
 org/m/305822
LOCATION:Virtual: https://events.vtools.ieee.org/m/305822
ORGANIZER:alp.erturk@kocaeli.edu.tr
SEQUENCE:12
SUMMARY:4th Earth Observation Applications Summer School (Uydu Yer Gözlem 
 Uygulamaları Yaz Okulu - UYGU2021)
URL;VALUE=URI:https://events.vtools.ieee.org/m/305822
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;On behalf of the IEEE Geoscience and Remot
 e Sensing Society (GRSS) Turkey Chapter\, we are pleased to invite you to 
 the 4th Earth Observations Applications Summer School\, UYGU2021\, which w
 ill be held from August 30 to September 2\, 2021\, in a virtual environmen
 t.&lt;/p&gt;\n&lt;p&gt;UYGU2021 is organized by the IEEE GRSS Turkey Chapter\, with th
 e support of GRSS Benelux and GRSS Switzerland Chapters\, and with the spo
 nsorship of IEEE GRSS. The theme for UYGU2021 is set as &quot;Deep Learning for
  Remote Sensing&quot;.&lt;/p&gt;\n&lt;p&gt;Deep learning presents promising opportunities t
 o meet the challenges of remote sensing\, and UYGU2021 seeks to highlight 
 the latest developments and trends in the used of deep learning for remote
  sensing related studies. Deep learning for feature extraction\, classific
 ation of hyperspectral images\, SAR data analysis\, fusion\, and multitemp
 oral and multisource data analysis are some of the topics that will be cov
 ered in the summer school. The organizers anticipate a technically outstan
 ding summer school\, with the carefully formed technical program and the e
 xceptional invited lecturers. UYGU2021 is primarily aimed at graduate stud
 ents\, faculty staff\, and researchers who wish to stay current on recent 
 discoveries and future trends on deep learning topics dealing with remote 
 sensing. However\, there are no prerequisites for attendance. The summer s
 chool is free of charge and open to all interested participants who regist
 er.&lt;/p&gt;\n&lt;p&gt;Registration is now open. Please visit the UYGU2021 website ht
 tps://grssturkey.org/en/uygu2021 for more details and do not hesitate to b
 roadcast this information around you.&lt;/p&gt;\n&lt;p&gt;We look forward to meeting y
 ou during UYGU2021\,&lt;/p&gt;\n&lt;p&gt;UYGU2021 Organization Commitee&lt;/p&gt;&lt;br /&gt;&lt;br /
 &gt;Agenda: &lt;br /&gt;&lt;p&gt;IEEE GRSS Turkey Chapter is pleased to invite you to the
  Fourth Earth Observation Applications Summer School\, UYGU2021\, with the
  theme &amp;ldquo\;Deep Learning for Remote Sensing&amp;rdquo\;.&lt;/p&gt;\n&lt;div class=&quot;
 main-text&quot;&gt;\n&lt;p&gt;UYGU2021 will be hosted in a virtual environment between t
 he dates of August 30 &amp;ndash\; September 2\, 2021. UYGU2021 is organized b
 y the IEEE GRSS Turkey Chapter\, with the support of IEEE GRSS Benelux and
  IEEE GRSS Switzerland Chapters\, and with the sponsorship of IEEE GRSS un
 der the ChapNet program.&lt;/p&gt;\n&lt;p&gt;In the four day summer school\, experts i
 n their fields will give lectures on the topics given below.&lt;/p&gt;\n&lt;/div&gt;\n
 &lt;div class=&quot;sub-text&quot;&gt;\n&lt;p&gt;&amp;nbsp\;Deep feature extraction and classificati
 on for hyperspectral imagery&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;Deep mining and fusion for ima
 ge interpretation in remote sensing&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;Deep learning: From rem
 otely sensed data to geo-spatial semantic information&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;Multi
 temporal\, multisource and mulltiscale remote sensing in the era of deep l
 earning&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;Deep Learning in Remote Sensing: Good Practices and
  Solutions for Complex Data&lt;/p&gt;\n&lt;p&gt;Deep Learning for SAR Processing and A
 nalysis&lt;/p&gt;\n&lt;/div&gt;\n&lt;div class=&quot;last-text&quot;&gt;\n&lt;p&gt;We wish you a productive 
 summer school experience.&lt;/p&gt;\n&lt;p class=&quot;signature&quot;&gt;IEEE GRSS Turkey Chapt
 er&lt;/p&gt;\n&lt;/div&gt;
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