Mr. Haoping Huang Profile

Haoping Huang

at Geophex Ltd

SPIE Involvement:

Author

Publications (3)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 10 June 2005 Paper

Identification of buried landmines using electromagnetic induction spectroscopy: evaluation of a blind test against ground truth

Haoping Huang, Bill San Filipo, Steve Norton, I. Won

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.602559

KEYWORDS: Land mines, Electromagnetism, Electromagnetic spectroscopy, Spectroscopy, Earth sciences, Remote sensing, Mining, Target detection, Environmental sensing, Geophysics

Read Abstract +

The Geophex GEM-3 sensor was tested at a government test site comprised of 980 1-m squares containing buried landmines and clutter (metallic debris). Electromagnetic (EM) induction spectroscopy (EMIS) was used to discriminate between the landmines and clutter items. Receiver-operator characteristics (ROC) were constructed based on the results of the analysis. Approximately 92% of the landmines were correctly identified as such, with a false alarm rate of 12%. In this report, we present a comparison of our identification results against the ground truth. The EMIS method works well for high-metal mines for which the misfit threshold can be easily established, yielding a correct declaration in all cases without false alarms. For medium-metal mines, even though the misfit differences between the mines and clutter are not as clear as those for the high-metal mines, these mines were still identified at very low false alarm rates with the GEM-3 sensor. The low-metal mines may be discriminated from clutter if they yield reliable signals, but often at a much higher false alarm rate. The primary reason for this is that the EM signals from the low-metal mines are intrinsically weak and thus more subject to distortion by noise. There are several possibilities for improving the low-metal mine identification, including (1) increasing the upper limit of the frequency band to obtain a stronger signal and better defined spectra; (2) decreasing the size of the sensing head to further localize the region of sensitivity of the sensor; (3) displaying the spectral curves and performing the identification in real time to allow operator inspection of the spectral match; and (4) defining a generalized misfit that incorporates signal amplitude and possibly other spectral features such as the quadrature peak.

Proceedings Article | 10 June 2005 Paper

Application of multi-frequency EMI measurements for mine detection and clutter discrimination

Bill SanFilipo, I. Won, Mike Shipman, Haoping Huang, Steve Norton

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.602473

KEYWORDS: Electromagnetic coupling, Land mines, Target detection, Mining, Amplifiers, Receivers, Magnetism, Laser induced breakdown spectroscopy, Electromagnetism, Metals

Read Abstract +

The intrinsic frequency dependence to electromagnetic induction (EMI) measurements of a metallic object depends on the size, shape, and metal type. This frequency dependence, referred to as the spectral response, can be exploited in identifying or classifying the object, as well as suppressing spurious EMI responses to geology. In order to acquire the necessary multi-frequency data, a sophisticated EMI sensor is needed. The GEM-3 utilizes a continuous wave frequency-domain mode in which a hybrid current waveform is digitally generated containing energy at typically ten logarithmically spaced frequencies from a few hundred Hertz up to 48 kHz. The concentric-coil configuration suppresses the primary field at the receiver coil using a dual transmitter coil scheme. A digital Fourier transform is performed on the receiver coil emf at the selected frequencies, providing inphase and quadrature measurements. The detection channel, selected from several options, combines the multi-frequency channels in a way that suppresses the response to magnetic soil and emphasizes metallic targets. Once a target is detected, the spectral character is compared to training data spectra stored in a library for the anticipated mines, and if the goodness-of-fit to the best matching library item is within a threshold, a mine is declared. The matching algorithm essentially compares the shape of the inphase and quadrature spectra, but modifications have been incorporated to account for amplitude reasonableness, to suppress noise induced from magnetic soil, and to allow for larger percentage errors for weak-response low-metal mines.

Proceedings Article | 11 September 2003 Paper

Detecting buried nonmetal objects using soil magnetic susceptibility measurements

Haoping Huang, I. J. Won, Bill San Filipo

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.485952

KEYWORDS: Magnetism, Sensors, Nonmetals, Magnetic sensors, Land mines, Mining, Electromagnetism, Metals, Soil science, Target detection

Read Abstract +

Soil magnetic susceptibility is always greater than zero and is detectable using an electromagnetic (EM) induction sensor. When the frequency-domain EM response is affected by magnetic polarization, the in-phase component becomes negative at the low frequency and proportional to the ground magnetic susceptibility. The in-phase measurement can thus be used to compute the apparent magnetic susceptibility. This approach provides a means of detecting a buried object based on it susceptibility contrast to the host medium. For example, an M19 anti-tank mine is physically large (33cm×33cm×9cm) but has so little metal that metal detectors can miss it. When an M19 is buried in soil, it produces a cavity in magnetic susceptibility, which may be detected as a region of low or anomalous apparent susceptibility compared to the surrounding area. We derived a simple formula to compute the apparent magnetic susceptibility from the in-phase data at the resistive limit. The behavior of the apparent susceptibility for layered earth models has been studied using synthetic data. Apparent susceptibility anomalies may be predicted from these studies based on the susceptibility contrast, and geometry of the sensor and target. Finally, we present experimental data obtained using two sensors, a GEM-2 and a GEM-3.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years