activity
20122024
most citedMulti-frequency subspace migration for imaging of perfectly conducting, arc-like cracks

90 citations · 591 across the 32 of their papers we have counts for

collaborators

32 papers

math.NA2024★ 41 cited

Application of MUSIC algorithm in real-world microwave imaging of unknown anomalies from scattering matrix

Won-Kwang Park

In this contribution, we consider MUltiple SIgnal Classification (MUSIC)-type algorithm for a non-iterative microwave imaging of small and arbitrary shaped extended anomalies locat…

math.NA2024★ 12 cited

A novel study on the MUSIC-type imaging of small electromagnetic inhomogeneities in the limited-aperture inverse scattering problem

Won-Kwang Park

We apply MUltiple SIgnal Classification (MUSIC) algorithm for the location reconstruction of a set of {two-dimensional circle-like} small inhomogeneities in the limited-aperture in…

eess.SP2023★ 3 cited

Application of MUSIC-type imaging for anomaly detection without background information

Won-Kwang Park

It has been demonstrated that the MUltiple SIgnal Classification (MUSIC) algorithm is fast, stable, and effective for localizing small anomalies in microwave imaging. For the succe…

math.NA2023★ 1 cited

Application and analysis of MUSIC algorithm for anomaly detection in microwave imaging without a switching device

Won-Kwang Park

Although the MUltiple SIgnal Classification (MUSIC) algorithm has demonstrated suitability as a microwave imaging technique for detecting anomalies, there is a fundamental limit th…

math.NA2018★ 38 cited

Real-time microwave imaging of unknown anomalies via scattering matrix

Won-Kwang Park

We consider an inverse scattering problem to identify the locations or shapes of unknown anomalies from scattering parameter data collected by a small number of dipole antennas. Mo…

math.NA2018★ 19 cited

Analysis and improvement of direct sampling method in the mono-static configuration

Sangwoo Kang, Marc Lambert, Won-Kwang Park

The recently introduced non-iterative imaging method entitled \enquote{direct sampling method} (DSM) is known to be fast, robust, and effective for inverse scattering problems in t…

math.NA2018★ 29 cited

Direct sampling method for retrieving small perfectly conducting cracks

Won-Kwang Park

In this paper, direct sampling method is considered for determining the location of a set of small, linear perfectly conducting cracks from the collected far-field data correspondi…

math.NA2018★ 32 cited

Direct sampling method for imaging small anomalies: real-data experiments

Won-Kwang Park, Kwang-Jae Lee, Seong-Ho Son

A direct sampling method (DSM) is designed herein for a real-time detection of small anomalies from scattering parameters measured by a small number of dipole antennas. Applicabili…

math.NA2018★ 30 cited

Direct sampling method for imaging small dielectric inhomogeneities: analysis and improvement

Sangwoo Kang, Marc Lambert, Won-Kwang Park

The direct sampling method (DSM) has been introduced for non-iterative imaging of small inhomogeneities and is known to be fast, robust, and effective for inverse scattering proble…

math.NA2018★ 9 cited

Detection of small inhomogeneities via direct sampling method in transverse electric polarization

Won-Kwang Park

Various studies have confirmed the possibility of identifying the location of a set of small inhomogeneities via a direct sampling method; however, when their permeability differs…

math.NA2018★ 20 cited

Direct sampling method for anomaly imaging from S-parameter

Won-Kwang Park

In this paper, we develop a fast imaging technique for small anomalies located in homogeneous media from S-parameter data measured at dipole antennas. Based on the representation o…

math.NA2017★ 11 cited

A novel study on subspace migration for imaging of a sound-hard arc

Won-Kwang Park

In this study, the influence of a test vector selection used in subspace migration to reconstruct the shape of a sound-hard arc in a two-dimensional inverse acoustic problem is con…

math.NA2017★ 5 cited

Topological derivative-based technique for imaging thin inhomogeneities with few incident directions

Won-Kwang Park

Many non-iterative imaging algorithms require a large number of incident directions. Topological derivative-based imaging techniques can alleviate this problem, but lacks a theoret…

math.NA2017★ 3 cited

Appearance of inaccurate results in the MUSIC algorithm with inappropriate wavenumber

Won-Kwang Park

MUltiple SIgnal Classification (MUSIC) is a well-known non-iterative location detection algorithm for small, perfectly conducting cracks in inverse scattering problems. However, wh…

math.NA2016

Subspace migration for imaging of thin, curve-like electromagnetic inhomogeneities without shape information

Won-Kwang Park

It is well-known that subspace migration is stable and effective non-iterative imaging technique in inverse scattering problem. But, for a proper application, geometric features of…

math.NA2016★ 3 cited

Certain properties of MUSIC-type imaging functional in inverse scattering from an open, sound-hard arc

Won-Kwang Park

This paper concerns mathematical formulation of well-known MUltiple SIgnal Classification (MUSIC)-type imaging functional in the inverse scattering problem by an open sound-hard ar…

math.NA2016★ 4 cited

Detection of small electromagnetic inhomogeneities with inaccurate frequency

Won-Kwang Park

Generally, in the application of subspace migration for detecting locations of small inhomogeneities, one begins reconstruction procedure with a priori information of applied frequ…

math.NA2016★ 6 cited

Interpretation of MUSIC for location detecting of small inhomogeneities surrounded by random scatterers

Won-Kwang Park

In this paper, we consider the MUltiple SIgnal Classification (MUSIC) algorithm for identifying the locations of small electromagnetic inhomogeneities surrounded by random scattere…

math.NA2014★ 2 cited

Localization of small perfectly conducting cracks from far-field pattern with unknown frequency

Jung Ho Park, Won-Kwang Park

In inverse scattering problem, it is well-known that subspace migration yields very accurate locations of small perfectly conducting cracks when applied frequency is known. In cont…

math-ph2014★ 15 cited

Analysis of multi-frequency subspace migration weighted by natural logarithmic function for fast imaging of two-dimensional thin, arc-like electromagnetic inhomogeneities

Young-Deuk Joh, Won-Kwang Park

The present study seeks to investigate mathematical structures of a multi-frequency subspace migration weighted by the natural logarithmic function for imaging of thin electromagne…

physics.class-ph2013

Structure and properties of linear sampling method for perfectly conducting, arc-like cracks

Won-Kwang Park

We consider the imaging of arbitrary shaped, arc-like perfectly conducting cracks located in the two-dimensional homogeneous space via linear sampling method. Based on the structur…

physics.class-ph2013

One-step iterative reconstruction of conductivity inclusion via the concept of topological derivative

Won-Kwang Park

We consider an inverse problem of location identification of small conductivity inhomogeneity inside a conductor via boundary measurements which occurs in the EIT (Electrical Imped…

math-ph2013★ 90 cited

Multi-frequency subspace migration for imaging of perfectly conducting, arc-like cracks

Won-Kwang Park

Multi-frequency subspace migration imaging technique are usually adopted for the non-iterative imaging of unknown electromagnetic targets such as cracks in the concrete walls or br…

math-ph2013★ 23 cited

Analysis of subspace migration in the limited-view inverse scattering problems

Young Mi Kwon, Won-Kwang Park

In this paper, we analyze the subspace migration that occurs in limited-view inverse scattering problems. Based on the structure of singular vectors associated with the nonzero sin…