Details

Autor(en) / Beteiligte

• Audibert, Lorenzo
• Haddar, Houssem
• Liu, Xiaoli

Titel

An Accelerated Level-Set Method for Inverse Scattering Problems

Ist Teil von

• SIAM journal on imaging sciences, 2022-09, Vol.15 (3), p.1576-1600

Ort / Verlag

Society for Industrial and Applied Mathematics

Erscheinungsjahr

2022

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• We propose a rapid and robust iterative algorithm to solve inverse acoustic scattering problems formulated as a PDE constrained shape optimization problem. We use a level-set method to represent the obstacle geometry and propose a new scheme for updating the geometry based on an adaptation of accelerated gradient descent methods. The resulting algorithm aims at reducing the number of iterations and improving the accuracy of reconstructions. To cope with regularization issues, we propose a smoothing to the shape gradient using a single layer potential associated with ik where k is the wave number. Numerical experiments are given for several data types (full aperture, backscattering, phaseless, multiple frequencies) and show that our method outperforms a non accelerated approach in terms of convergence speed, accuracy and sensitivity to initial guesses.