Dual-Parameter Simultaneous Full Waveform Inversion of Ground-Penetrating Radar for Arctic Sea Ice

With global warming, Arctic sea ice, as one of the important factors regulating climate, has put forward new requirements for research. At present, ground penetrating radar (GPR) is a powerful tool to obtain structure ice. Traditional offset imaging techniques no longer meet research requirements, and two-parameter full waveform inversion (FWI) method received widespread attention. To solve high nonlinearity ill-posed problem FWI, L-BFGS optimization algorithm Wolfe criterion inexact line search were used update model. The parameter scale factor, multiscale strategy, total variation (TV) regularization introduced optimize results. Finally, anomalous bodies with different scales physical parameters carried out, which verifies reliability proposed dual-parameter ice provides study