Enhancement of Linear Sampling Method imaging of conducting targets using a boundary condition constraint

Autor:	Hatim F. Alqadah, Matthew J. Burfeindt
Rok vydání:	2020
Předmět:	Constraint (information theory) Computer science media_common.quotation_subject Electric field Fidelity A priori and a posteriori Boundary (topology) Boundary value problem Algorithm media_common Image (mathematics) Sparse matrix
Zdroj:	2020 IEEE Research and Applications of Photonics in Defense Conference (RAPID).
DOI:	10.1109/rapid49481.2020.9195708
Popis:	We present a new formulation of the Linear Sampling Method (LSM) for imaging conducting targets from spatially sparse data acquisitions. The technique mitigates the lack of spatial channels by introducing a priori information into the problem formulation related to the electric field boundary conditions on the unknown target boundary. We apply the proposed technique to simulated data and demonstrate improved image fidelity relative to the standard LSM.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::eadfd9030ff3bf2ff220cf41bc04c083 https://doi.org/10.1109/rapid49481.2020.9195708 Zobrazit plný text záznamu