A linear prediction land mine detection algorithm for hand held ground penetrating radar

Ho, K. C.; Gader, Paul D.

doi:10.1109/tgrs.2002.800276

Cited by 90 publications

(57 citation statements)

References 18 publications

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“…For that reason, Wide varieties of signal processing techniques have been evolved and used to process GPR signals. Gader and Nelson et al [4,5] have proposed a gradientbased method for landmine detection. Three features based on Singular Value Decomposition (SVD), Discrete Fourier transform DFT and Principal Component Analysis, (PCA), are extracted to each signal for landmine detection, which is performed by using the Mahalanobis distance method.…”

Section: Introductionmentioning

confidence: 99%

Landmine Characterization Applying GPR Assessment and Modeling Approaches

Mohana¹,

Ebrahim²,

Abbas³

et al. 2015

J Remote Sensing & GIS

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There are more than 119 million mines were buried in 71 countries in the world. The number of mine victims is greater than the number of the victims of nuclear and chemical weapons together. Egypt is one of the countries that suffer from the presence of landmines in its soil. Hence, around 21 million landmines are found in several locations, especially at El-Alameen and Sinai Peninsula.Ground Penetrating Radar (GPR) is a near-surface geophysical imaging technique used for subsurface geologic, engineering and environmental investigations. It is an efficient tool for landmines detection, especially non-metal types such as PMN-2 landmine as well as its far detection capability.

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Section: Introductionmentioning

confidence: 99%

Landmine Characterization Applying GPR Assessment and Modeling Approaches

Mohana¹,

Ebrahim²,

Abbas³

et al. 2015

J Remote Sensing & GIS

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“…However, the victims are not only restricted to soldiers. Recent heavy rain with floods and landslides may move landmines to civilian areas, threatening civilians' safety [1,2]. Therefore, safe and efficient removal of landmines is critical.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, they are frequently selected for landmine detection [2,[29][30][31][32][33]. In addition, an attempt to use a metal detector and a GPR together in the landmine detection has been made [34].…”

Section: Introductionmentioning

confidence: 99%

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

Park¹,

Park²,

Kim³

et al. 2013

PIER

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Abstract-In this paper, we present a method for detecting antitank or anti-personnel landmines buried in the ground. A set of data generated by a ground penetrating radar is processed to remove the surface reflection and clutter, yielding signals for possible landmines. In order to detect landmines in the signals, features are computed and compared against a database, which contains those of various landmines. Three features are proposed to use; principal components from principal component analysis, Fourier coefficients and singular values from singular value decomposition method, each of which is chosen to represent each landmine uniquely. Detection is performed using Mahalanobis distance-based method. Examples show that the proposed method can effectively detect landmines in various burial condition.

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“…More related to our work on eliminating the soil background for land mine detection, Wu et al [9] have proposed to remove the ground bounce response by modeling it as a shifted and scaled version of an adaptively estimated reference ground bounce. Alternatively, a constant false alarm rate detector based on modeling the background and clutter reflection by one-sided linear prediction (LP) has been derived in [10]. It is noteworthy that apart from the commonly used onesided LP, two sided LP [11] can also be used for parameter estimation.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we extend the LP idea to devise a novel land mine detection algorithm. Unlike [10] which processes GPR signals using the standard one-sided LP in frequency domain, we propose a generalized version of two-sided LP and employ it to perform processing in spatial domain. It is shown that the proposed detector is superior to [9] and [10] and has high potential of reducing false alarm probability.…”

Section: Introductionmentioning

confidence: 99%

Generalized two-sided linear prediction approach for land mine detection

Chan

2008

Signal Processing

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: Ground penetrating radar (GPR) is a widely used sensor for land mine detection. However, GPR signal return is very susceptible to ground bounce and reflection of clutter objects, which makes the detection a difficult problem to date. In this paper, we propose to utilize two-sided linear prediction (LP) to model the background interference and then employ the residue energy to generate the test statistic. It is demonstrated from real GPR data that the proposed scheme is able to significantly suppress the interference due to ground reflection and is superior to the adaptive ground bounce removal and one-sided LP methods.

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A linear prediction land mine detection algorithm for hand held ground penetrating radar

Cited by 90 publications

References 18 publications

Landmine Characterization Applying GPR Assessment and Modeling Approaches

Landmine Characterization Applying GPR Assessment and Modeling Approaches

Multi-Feature Based Detection of Landmines Using Ground Penetrating Radar

Generalized two-sided linear prediction approach for land mine detection

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