Bayesian Approach to Determining the Orientation of Sound-soft Obstacles with Phaseless Data via Wasserstein Distance
Reporter:
Jingzhi Li, Professor, Southern University of Science and Technology
Inviter:
Shipeng Mao, Professor
Subject:
Bayesian Approach to Determining the Orientation of Sound-soft Obstacles with Phaseless Data via Wasserstein Distance
Time and place:
14:00-15:00 December 9(Friday), Tencent Meeting ID: 128-771-386
Abstract:
We present a Bayesian approach to inverse scattering problems of reconstructing the rotation angle in clockwise direction of an acoustically sound-soft obstacle from phaseless far-field data in two dimensions via Wasserstein Distance.