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SUMMARY:Fully polarimetric multi-aspect 3D InISAR - Elisa Giusti (CNIT - N
 ational Interuniversity Consortium for Telecommunications)
DTSTART:20230202T141500Z
DTEND:20230202T150000Z
UID:TALK194557@talks.cam.ac.uk
DESCRIPTION:2D ISAR is able to reconstruct e.m. images of non-cooperative 
 targets by using the relative motion between the radar and the target. How
 ever 2D ISAR produce 2D images of 3D targets and the image projection plan
 e is not a priori known because it depends on the target motion\, which is
  unknown. This may prevent a correct interpretation of the 2D ISAR images.
  The 3D InISAR has been recently proposed to avoid the problem related to 
 the projection plane because it produces a three-dimensional reconstructio
 n of the target. The 3D InISAR has been validated using real data acquired
  using either ground based and airborne interferometric radar systems. The
 re is however the need to boost the 3D InISAR algorithm performance to mak
 e it more robust and fully operative. In fact\, the performance of the 3D 
 InISAR algorithm strongly depends on the ISAR focus quality\, the scatteri
 ng extraction algorithm that selects the brightest scatterers in the 2D IS
 AR images\, and the coherence among the receivers. Polarimetry and spatial
  diversity can be used to handle this task.\nAfter a short review of this 
 method\, open problems are illustrated\, such as the possibility to find i
 mproved solutions to the sub-optimal solution used to select the best pola
 rimetric vector for the target height estimation.
LOCATION:Seminar Room 1\, Newton Institute
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