We propose a methodology that exploits large and diverse data sets to accurately estimate the ambient medium's Green's functions in strongly scattering media. Given these estimates, obtained with and without the use of neural networks, excellent imaging results are achieved, with a resolution that is better than that of a homogeneous medium. This phenomenon, also known as super-resolution, occurs because the ambient scattering medium effectively enhances the physical imaging aperture. This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

翻译：本文提出一种方法，利用大规模多样化数据集精确估计强散射介质中环境介质的格林函数。基于通过神经网络辅助与未使用神经网络两种方式获得的估计结果，我们实现了优异的成像效果，其分辨率优于均匀介质中的成像分辨率。这种现象（亦称为超分辨率成像）的产生，是因为环境散射介质有效增强了物理成像孔径。本研究成果已提交IEEE审议出版。版权可能在不另行通知的情况下转移，届时当前版本可能无法继续访问。