Target identification in sonar imagery via simulations of Helmholtz equations

Research Horizons Seminar
Wednesday, September 28, 2016 - 12:00pm
1 hour (actually 50 minutes)
Skiles 006
Department of Mathematics, Georgia Institute of Technology

Food and Drinks will be provided before the seminar.

We present a multiscale approach for identifying objects submerged in ocean beds by solving inverse problems in high frequency seafloor acoustics. The setting is based on Sound Navigation And Ranging (SONAR) imaging used in scientific, commercial, and military applications. The forward model incorporates simulations, by solving Helmholtz equations, on a wide range of spatial scales in the seafloor geometry. This  allows for detailed recovery of seafloor parameters including the material type. Simulated backscattered data is generated using microlocal analysis techniques. In order to lower the computational cost of large-scale simulations, we take advantage of a library of representative acoustic responses from various seafloor parametrizations.