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SUMMARY:Current Advances on Solving SAR Imaging Inverse Problems - Oktay K
 arakus (Cardiff University)
DTSTART:20230203T094500Z
DTEND:20230203T103000Z
UID:TALK194572@talks.cam.ac.uk
DESCRIPTION:Satellite remote sensing imagery currently sits at the heart o
 f many applications and has been the leading technique for marine/land mon
 itoring and surveillance purposes due to its capability to capture wide-an
 gle area imagery under challenging weather conditions and for various sea 
 states. Among those remote sensing techniques\, synthetic aperture radar (
 SAR) imagery is one of the most important ones with its all-weather\, clou
 d-free and day-night data collection properties. SAR can provide useful in
 formation in a multitude of applications\, including climate change\, envi
 ronmental monitoring\, meteorology\, high dimensional mapping\, ship monit
 oring\, or planetary exploration. In this talk\, we discuss current advanc
 es in solutions to a number of inverse problems encountered in SAR imaging
  such as ship wake detection\, despeckling\, super-resolution and image fo
 rmation. The techniques covered will include some model-based approaches s
 uch as proximal splitting algorithms along with some seminal data-driven m
 achine-learning approaches.
LOCATION:Seminar Room 1\, Newton Institute
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