Won-Kwang Park

Full Professor

Kookmin University

South Korea

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Won-Kwang Park is a Full Professor at Kookmin University in South Korea. His research primarily focuses on advanced imaging techniques, including algorithms for object localization and anomaly detection in microwave scattering data. Recent publications highlight his work on the MUSIC algorithm, Kirchhoff migration, and neural network applications in complex environments.

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Collaborators (2)

Sangwoo Kang

Assistant Professor

Pusan National University

SOUTH KOREA

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Seong-Ho Son

Professor

Soonchunhyang University

SOUTH KOREA

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Won-Kwang Park

Research Interests

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About

Articles (23)

A novel study on the imaging capabilities of MUSIC algorithm in monostatic measurement setup

Direct Sampling Method to Retrieve Small Objects from Two-Dimensional Limited-Aperture Scattered Field Data

Bifocusing-Based Imaging of Small Penetrable Dielectric Objects From Fresnel Dataset

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

On the application of subspace migration from scattering matrix with constant-valued diagonal elements in microwave imaging

Orthogonality Sampling Method for Identifying Small Anomalies in Real-World Microwave Imaging

Real-Time identification of small anomalies from scattering matrix without background information

Real-time detection of small objects in transverse electric polarization: Evaluations on synthetic and experimental datasets

Real-time tracking of moving objects from scattering matrix in real-world microwave imaging

Unveiling novel insights into Kirchhoff migration for a fast and effective object detection from experimental Fresnel dataset

Object Localization in Highly Cluttered Environments Using Neural Network Learning on Microwave Scattering Data

Application of Kirchhoff Migration from Two-Dimensional Fresnel Dataset by Converting Unavailable Data into a Constant

A novel study on the orthogonality sampling method in microwave imaging without background information

A qualitative analysis of bifocusing method for a real-time anomaly detection in microwave imaging

On the application of MUSIC algorithm for identifying short sound-hard arcs in limited-view inverse acoustic problem

On the Application of Orthogonality Sampling Method for Object Detection in Microwave Imaging

A novel study on the bifocusing method for imaging unknown objects in two-dimensional inverse scattering problem

Shape identification of open sound-hard arcs without priori information in limited-view inverse scattering problem

Fast identification of short, linear perfectly conducting cracks in a bistatic measurement configuration

Construction of Full-View Data from Limited-View Data Using Artificial Neural Network in the Inverse Scattering Problem

Localization of Small Objectives from Scattering Parameter via Bistatic Measurement Configuration

Investigation of a non-iterative technique based on topological derivatives for fast localization of small conductivity inclusions

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

Collaborators (2)

Sangwoo Kang

Seong-Ho Son

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