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SUMMARY:Remote sensing and computer vision – just analysis of images fro
 m different sensors? - Professor Clement Atzberger - BOKU University\, Aus
 tria &amp\; Mantle Labs Ltd.\, UK
DTSTART:20211027T140500Z
DTEND:20211027T145500Z
UID:TALK161704@talks.cam.ac.uk
CONTACT:Ben Karniely
DESCRIPTION:Both\, computer vision (CV) and satellite-based remote sensing
  (Earth Observation - EO)\, devote much efforts to the analysis of imagery
  for deriving useful information. As a result of the enormous progress in 
 CV over the past 2 decades\, one sees nowadays a huge influx of CV-based r
 esearch into the EO community. A large fraction of more traditional remote
  sensing experts\, however\, is still rather sceptical if CV developed met
 hods are really game-changers for Earth Observation. This is partly due to
  the sheer amount of published CV-based papers in remote sensing journals 
 with little guidance and unclear quality\, but also due to differences in 
 terminology. Together this hinders uptake and complicates mutual understan
 ding.\n\nIn my personal opinion\, there are also more fundamental differen
 ces between the two fields which deserve attention. This concerns especial
 ly the importance of radiometric\, respectively\, structural information. 
 The former is of utmost importance in EO for prominent applications such a
 s crop/tree species identification\, biomass/yield estimates\, nitrogen/ir
 rigation management\, crop health/status assessments\, etc.\, in particula
 r in combination with its temporal evolution. The structural information p
 rovided by the imagery\, although present\, offers on the other hand in th
 e EO domain only very limited information. \n\nIndeed\, I believe that a c
 orrect identification of similarities and differences could potentially le
 ad to a joint - and boosted - progress. In this talk I will try to highlig
 ht main differences\, areas of overlap and what each field could potential
 ly learn from the other.\n\n\nLink to join: https://cl-cam-ac-uk.zoom.us/j
 /97767639783?pwd=T09GcVJxZUNEUFEvRnZnbWwxeEwzQT09\n\nA recording of this t
 alk is available to University of Cambridge members at the following link:
  https://www.cl.cam.ac.uk/seminars/wednesday/video/
LOCATION:Online
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