Joint geoacoustic inversion based on Pearson correlation coefficient constraints

This Letter proposes a joint geoacoustic inversion method for modal group velocity dispersion and amplitudes of waveform by incorporating a Pearson correlation constraint. Numerical simulations show that this joint inversion leads to improved geoacoustic inversion performance with smaller uncertainties compared to separate inversion methods when applied to data from a single receiver. Additionally, the effective use of the Wasserstein metric from optimal transport theory is explored and compared to the more-common L(2 )norm misfit measure. The Letter also presents a qualitative representation of joint inversion convergence obtained through multiple independent runs of genetic algorithms. The algorithm is applied to simulated data. (c) 2023 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/).