### Seafloor identification in sonar imagery via simulations of Helmholtz equations and discrete optimization

- Series
- Applied and Computational Mathematics Seminar
- Time
- Monday, November 21, 2016 - 14:05 for 1 hour (actually 50 minutes)
- Location
- Skiles 005
- Speaker
- Dr. Christina Frederick – Georgia Tech Mathematics

We present a multiscale approach for identifying features 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 multiscale simulations, by coupling Helmholtz equations and
geometrical optics for a wide range of spatial scales in the seafloor
geometry. This allows for detailed recovery of seafloor parameters
including material type. Simulated backscattered data is generated using
numerical microlocal analysis techniques. In order to lower the
computational cost of the large-scale simulations in the inversion
process, we take advantage of a \r{pre-computed} library of
representative acoustic responses from various seafloor
parameterizations.