Dr. Keli Sun Profile

Dr. Keli Sun

at Dartmouth College

SPIE Involvement:

Author

Publications (22)

Proceedings Article | 29 April 2008 Paper

A data-derived time-domain SEA for UXO identification using the MPV sensor

Juan Pablo Fernández, Benjamin Barrowes, Kevin O'Neill, Irma Shamatava, Fridon Shubitidze, Keli Sun

Proceedings Volume 6953, 69531H (2008) https://doi.org/10.1117/12.777902

KEYWORDS: Sensors, Receivers, Data modeling, Signal detection, Magnetism, Electromagnetism, Target detection, Transmitters, Magnetic sensors, Electromagnetic coupling

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Proceedings Article | 7 May 2007 Paper

Estimating magnetic susceptible from EMI data

I. Shamatava, B. Barrowes, F. Shubitidze, B. Zhang, K. O'Neill, P. Fernández, K. Paulsen

Proceedings Volume 6553, 655308 (2007) https://doi.org/10.1117/12.720034

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Magnetic sensors, Soil science, Electromagnetism, Scattering, Sensor performance, Surface roughness, Minerals

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Proceedings Article | 7 May 2007 Paper

NSMC for UXO discrimination in cases with overlapping signatures

F. Shubitidze, B. Barrowes, Kevin O'Neill, I. Shamatava, J. Fernández, K. Sun

Proceedings Volume 6553, 65530F (2007) https://doi.org/10.1117/12.720043

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Data modeling, Mathematical modeling, Analytical research, Scattering, Electromagnetism, Soil science, Signal processing

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Proceedings Article | 26 April 2007 Paper

Inferring the location of buried UXO using a support vector machine

Juan Pablo Fernández, Keli Sun, Benjamin Barrowes, Kevin O'Neill, Irma Shamatava, Fridon Shubitidze, Keith Paulsen

Proceedings Volume 6553, 65530B (2007) https://doi.org/10.1117/12.718712

KEYWORDS: Sensors, Signal detection, Nose, Electromagnetic coupling, Magnetism, Target detection, Software, Machine learning, Magnetic sensors, Data modeling

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Proceedings Article | 16 May 2006 Paper

Dumbbell dipole model and its application in UXO discrimination

K. Sun, K. O'Neill, B. Barrowes, J. Fernández, F. Shubitidze, I. Shamatava, K. Paulsen

Proceedings Volume 6217, 621706 (2006) https://doi.org/10.1117/12.667997

KEYWORDS: Data modeling, Performance modeling, Electromagnetic coupling, Polarizability, Instrument modeling, Electromagnetism, Magnetism, Inverse problems, Target detection, Data centers

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Proceedings Article | 16 May 2006 Paper

Investigation of EMI response for magnetically susceptible rough surfaces

I. Shamatava, B. Barrowes, F. Shubitidze, K. O'Neill, J. Fernández, K. Sun, K. Paulsen

Proceedings Volume 6217, 62170R (2006) https://doi.org/10.1117/12.668015

KEYWORDS: Electromagnetic coupling, Magnetism, Sensors, Magnetic sensors, Soil science, Electromagnetism, Optical spheres, Signal detection, Minerals, Geology

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Proceedings Article | 16 May 2006 Paper

Evaluation of SVM classification of metallic objects based on a magnetic-dipole representation

Juan Pablo Fernández, Benjamin Barrowes, Kevin O'Neill, Keith Paulsen, Irma Shamatava, Fridon Shubitidze, Keli Sun

Proceedings Volume 6217, 621703 (2006) https://doi.org/10.1117/12.667963

KEYWORDS: Electromagnetic coupling, Optical spheres, Sensors, Polarizability, Chemical elements, Magnetic polarizability, Electromagnetism, Detection and tracking algorithms, Magnetism, Explosives

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Proceedings Article | 16 May 2006 Paper

The generalized SEA to UXO discrimination in geophysical environments producing EMI response

F. Shubitidze, B. Barrowes, K. O'Neill, I. Shamatava, J. Fernández, K. Sun, K. Paulsen

Proceedings Volume 6217, 621707 (2006) https://doi.org/10.1117/12.668009

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Data modeling, Magnetic sensors, Received signal strength, Electromagnetism, Free space, Nose, Fourier transforms

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Proceedings Article | 10 June 2005 Paper

UXO signature extraction from measurement data: automatic weighting and regularization

K. Sun, K. O'Neill, F. Shubitidze, I. Shamatava, K. Paulsen

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.604280

KEYWORDS: Data modeling, Sensors, Electromagnetic coupling, Nose, Data centers, Electromagnetism, Unexploded object detection, Inverse problems, Systems modeling, Superposition

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Proceedings Article | 10 June 2005 Paper

Discrimination of UXO buried under magnetic soil

K. Sun, K. O'Neill, F. Shubitidze, I. Shamatava, K. Paulsen

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.603769

KEYWORDS: Soil science, Data modeling, Magnetism, Electromagnetic coupling, Sensors, Magnetic sensors, Commercial off the shelf technology, Electromagnetism, Superposition, Free space

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Proceedings Article | 10 June 2005 Paper

Combined differential evolution and surface magnetic charge model algorithm for discrimination of UXO from non-UXO items: simple and general inversions

Fridon Shubitidze, Kevin O'Neill, Irma Shamatava, Keli Sun, Keith Paulsen

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.603845

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Data modeling, Magnetic sensors, 3D modeling, Analytical research, Free space, Optical spheres, Electromagnetism

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This paper presents an application of a combined differential evolution (DE) and surface magnetic charge (SMC) model to discriminate objects of interest, such as unexploded ordnance (UXO), from innocuous items. In entire electromagnetic induction (EMI) sensing considered here (tens of Hertz up to several hundreds of kHz), the scattered magnetic field outside the object can be represented in terms of scalar magnetic potential, from which one can obtain all scattered magnetic fields. Such fields are appropriately and readily produced mathematically by equivalent magnetic charges. The amplitudes of these charges are determined from measurement data. The surface magnetic charge model takes into account the scatterer's heterogeneity and near- and far-field effects. It is very fast and simple to implement in EMI inverse scattering algorithms. For simplification of discrimination algorithms, the frequency spectrum of the total normalized equivalent charge is investigated here as a discriminant. Two inversions scenarios are discussed: 1. Simple, when we assume that a buried object's location and orientation are known but its identity is not; and 2. General when both identity and all positional parameters are unknown. In the first case, because the task is only to identify the object, only the SMC model is required and this serves as a test of it alone. In the second case the combined DE and SMC model approach is required for identifying the object as well as its location and orientation. In this case an iterative two-step inversion procedure is used together with measured data. One step calculates an object's location and orientation, and the other calculates the amplitudes of the responding fictitious magnetic charges. Once the object's location, orientation, and spectrum of total magnetic charge are all determined, then that spectrum is compared to cataloged library data for UXO's of interest. To illustrate the applicability of the combined DE and SMC algorithm for UXO discrimination, first a simple inversion methodology is given for an actual UXO and then a general inversion approach is tested for a single object.

Proceedings Article | 10 June 2005 Paper

Analyzing multi-axis data versus scalar data for UXO discrimination

Fridon Shubitidze, Kevin O'Neill, Irma Shamatava, Keli Sun, Keith Paulsen

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.603933

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Data modeling, Electromagnetism, Magnetic sensors, Image sensors, Mathematical modeling, Interfaces, Analytical research

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The objective of this paper is to study the advantage of multi-axis (vector) data over scalar one-dimensional data in the electromagnetic induction (diffusion) regime in both frequency and time domains for discriminating unexploded ordnance (UXO). Particular attention is given to the time domain. Traditional magnetometers and coil-based electromagnetic induction sensors measure only one component of the scattered magnetic field. They provide high sensitivity, but one-component magnetic field measurements provide limited information about the electromagnetic signatures of buried items, particularly for target localization and determination of target parameters. Recently much effort has been directed at developing next-generation electromagnetic geophysical sensors to collect vector data; for example, Geophex has built a new 3D GEM-3 sensor, with one transmitter and three (all Hx, Hy, Hz) receiver coils, and similar capabilities exist in the time domain. In this paper a surface magnetic charge (SMC) model, in conjunction with a differential evolution (DE) algorithm, is used to treat multi-axis data to advance, motivated by potential application to discrimination of buried UXO’s. In the SMC model the scattered magnetic field is produced by a set of magnetic charges distributed mathematically around the target location. The amplitudes of these charges is determined by matching to measured magnetic fields at a selected set of points. When the charge amplitudes are normalized by the corresponding normal component of the primary field at each location, their sum is regarded as an indication of the magnetic capacity of the object and is used as a discriminant. Once the amplitude of this normalized source set is found for each object, it can be stored for subsequent use in a discrimination algorithm. Time domain SMCs are developed for highly permeable and metallic objects buried inside a magnetic half-space. Air/magnetic ground interface effects are taken into account using image theory. Examples of synthetic electromagnetic induction data sets in the time domain are designed to show the advantage of vector over scalar data. The numerical tests for inversion of an object’s location and position from the multi-axis data and single component data will are discussed and analyzed in detail.

Proceedings Article | 10 June 2005 Paper

Analysis of geological soil effects on EMI responses relevant to UXO discrimination

Fridon Shubitidze, Kevin O'Neill, Irma Shamatava, Keli Sun, Keith Paulsen

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.603902

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Soil science, Optical spheres, Antennas, Image sensors, Electromagnetism, Magnetic sensors, Interfaces

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Proceedings Article | 10 June 2005 Paper

Treatment of a permeable non-conducting medium with the EMI-BOR program

Irma Shamatava, K. O'Neill, Fridon Shubitidze, Keli Sun, Keith Paulsen

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.603809

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Magnetic sensors, Optical spheres, Electromagnetism, Interfaces, Scattering, Target detection, Soil science

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Proceedings Article | 25 May 2005 Paper

EMI obscuration of buried UXO by geophysical magnetic permeability, anthropogenic clutter, and by magnitude disparities

K. O'Neill, F. Shubitidze, K. Sun, I. Shamatava, K. Paulsen

Proceedings Volume 5811, (2005) https://doi.org/10.1117/12.604030

KEYWORDS: Sensors, Electromagnetic coupling, Soil science, Magnetism, Antennas, Magnetic sensors, Head, Electromagnetism, Metals, Transmitters

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Proceedings Article | 21 September 2004 Paper

Use of standardized source sets for enhanced EMI classification of buried heterogeneous objects

Fridon Shubitidze, Kevin O'Neill, Irma Shamatava, Keli Sun, Keith Paulsen

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.541683

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Electromagnetism, Magnetic sensors, Metals, Nose, Library classification systems, Scattering, Receivers

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Proceedings Article | 21 September 2004 Paper

Data diversity for UXO discrimination in realistic settings with a handheld EMI sensor

Kevin O'Neill, I. J. Won, Alex Oren, Chi-Chih Chen, Hyoun-Sun Youn, Xudong Chen, Keli Sun

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.542183

KEYWORDS: Electromagnetic coupling, Sensors, General packet radio service, Transmitters, Antennas, Receivers, Magnetism, Condition numbers, Head, Laser systems engineering

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Proceedings Article | 21 September 2004 Paper

Potential benefits of combining EMI and GPR for enhanced UXO discrimination at highly contaminated sites

Irma Shamatava, Fridon Shubitidze, Chi-Chih Chen, Hyoun-Sun Youn, Kevin O'Neill, Keli Sun

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.542515

KEYWORDS: Electromagnetic coupling, General packet radio service, Magnetism, Sensors, Feature extraction, Electromagnetism, Data processing, Data modeling, Polarization, Ground penetrating radar

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Proceedings Article | 21 September 2004 Paper

Fast data-derived fundamental spheroidal excitation models with application to UXO identification

Keli Sun, Kevin O'Neill, Fridon Shubitidze, Irma Shamatava, Keith Paulsen

Proceedings Volume 5415, (2004) https://doi.org/10.1117/12.541535

KEYWORDS: Data modeling, Sensors, Electromagnetic coupling, Magnetism, Superposition, Process modeling, Inverse problems, Target detection, Distance measurement, Nose

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Proceedings Article | 11 September 2003 Paper

Analysis of EMI scattering to support UXO discrimination: heterogeneous and multiple objects

Fridon Shubitidze, Kevin O'Neill, Irma Shamatava, Keli Sun, Keith Paulsen

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.487275

KEYWORDS: Magnetism, Electromagnetic coupling, Sensors, Scattering, Detection and tracking algorithms, Electromagnetism, Antennas, Composites, Solids, Near field

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Proceedings Article | 11 September 2003 Paper

Analytical solutions for EMI scattering from general spheroids with application in signal inversion for UXO identification

Keli Sun, Kevin O'Neill, Lanbo Liu, Fridon Shubitidze, Irma Shamatava, Keith Paulsen

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.487240

KEYWORDS: Electromagnetic coupling, Detection and tracking algorithms, Numerical simulations, Magnetism, Target recognition, Target detection, Scattering, Electromagnetism, Unexploded object detection, Sensors

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Proceedings Article | 11 September 2003 Paper

Dealing with clutter in EMI inversion and classification schemes for buried UXO discrimination

Kevin O'Neill, Keli Sun, Fridon Shubitidze, Irma Shamatava, Lanbo Liu, Keith Paulsen

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.487287

KEYWORDS: Antennas, Sensors, Electromagnetic coupling, Magnetism, Bismuth, Signal processing, Laser sintering, Electromagnetism, Scattering, Optical spheres

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Showing 5 of 22 publications

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