Show simple item record

dc.contributor.authorLiu, Zicheng
dc.contributor.authorRoy, Mayank
dc.contributor.authorPrasad, Dilip K.
dc.contributor.authorAgarwal, Krishna
dc.date.accessioned2022-08-16T12:04:20Z
dc.date.available2022-08-16T12:04:20Z
dc.date.issued2022-03-15
dc.description.abstractSolving electromagnetic inverse scattering problems (ISPs) is challenging due to the intrinsic nonlinearity, ill-posedness, and expensive computational cost. Recently, deep neural network (DNN) techniques have been successfully applied on ISPs and shown potential of superior imaging over conventional methods. In this paper, we discuss techniques for effective incorporation of important physical phenomena in the training process.We show the importance of including near-field priors in the learning process of DNNs. To this end, we propose new designs of loss functions which incorporate multiple-scattering based near-field quantities (such as scattered fields or induced currents within domain of interest). Effects of physics-guided loss functions are studied using a variety of numerical experiments. Pros and cons of the investigated ISP solvers with different loss functions are summarized.en_US
dc.identifier.citationLiu, Roy, Prasad, Agarwal. Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. IEEE Transactions on Computational Imaging. 2022;8:236-245en_US
dc.identifier.cristinIDFRIDAID 2030865
dc.identifier.doi10.1109/TCI.2022.3158865
dc.identifier.issn2333-9403
dc.identifier.urihttps://hdl.handle.net/10037/26220
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.journalIEEE Transactions on Computational Imaging
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titlePhysics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scatteringen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


File(s) in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record