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SUMMARY:Seeing inside trees using microwave imaging: an application to Ada
 ptive Eigenspace Inversion - Marie Graff (University of Auckland)
DTSTART:20230626T123000Z
DTEND:20230626T140000Z
UID:TALK201283@talks.cam.ac.uk
DESCRIPTION:Inverse scattering and imaging go hand in hand and have multip
 le applications: medical imaging\, geophysical prospecting or non-destruct
 ive testing. More recently\, imaging\, in the context of quality control i
 n primary industry\, has been used to understand the interior of other org
 anic bodies: fruits or trees. There is still a huge demand from industrial
 s to come up with a technology that allows to know the level of ripeness\,
  sweetness\, disease or any suitable properties of a product without cutti
 ng it open.\n&nbsp\; &nbsp\; The fundamental task in imaging is indeed to 
 infer the characteristics of a medium from indirect measurements. We devel
 oped a novel technique for this task called Adaptive Eigenspace Inversion 
 (AEI). The AEI method has been shown to reduce computation time significan
 tly and to introduce inherent regularisation\, by projecting the domain in
 to the basis of an elliptical operator during the implementation of Newton
 -type optimisation methods.\n&nbsp\; &nbsp\; In this talk\, I will present
  the AEI method in a first instance and then give some preliminary results
  in the context of microwave imaging on trees.
LOCATION:Seminar Room 2\, Newton Institute
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