Reconstruct the ambient noise source from the multi-frequency sparse correlation data
arXiv:2607.13509
summary
The paper proposes a multi‑frequency factorization technique that can recover the shape of an ambient noise source using only a few correlation measurements, with low computational effort.
Abstract
In this paper, we develop a novel multi-frequency factorization method to reconstruct the spatial support of the ambient noise source. The proposed method only requires sparse correlation data and has low computational cost. Numerical experiments in two and three dimensions are presented to demonstrate the effectiveness of the proposed method.
Topics & keywords
#inverse source problem#ambient noise imaging#multi-frequency factorization#sparse data#numerical experimentsfactorization methodcorrelation dataspatial support reconstructionmulti-frequencysparse measurements