&lt;title&gt;Detecting UXO: putting it all into perspective&lt;/title&gt;

MacKenzie, Cheryl; Jordan, Christine; Dugan, Regina E.; Kolodny, Michael A.

doi:10.1117/12.211305

Cited by 4 publications

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“…The surface currents are equal to , where the unit normal vector points outward from the surface. The scaler Green function is (2) Taking the vector cross product of with (1) for and performing manipulations yields (3) We approximate the target geometry using surface elements, each being a flat triangular facet. To achieve the numerical formulation, we assume further that the current is approximately constant over each such element, associating its value with the location of the element's centroid , i.e., for the th element.…”

Section: Governing Equationsmentioning

confidence: 99%

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Discrimination of UXO in soil using broadband polarimetric GPR backscatter

O’Neill

2001

IEEE Trans. Geosci. Remote Sensing

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Abstract-Polarimetric analysis of ground penetrating radar (GPR) backscatter offers a new means of discriminating subsurface metallic target shapes from one another. Such discrimination is urgently needed to distinguish buried unexploded ordnance (UXO) from other subsurface objects. To illuminate the underlying phenomenology of scattering from objects enveloped in soil, three-dimensional (3-D) simulations are performed over a broad frequency band, characteristic of new low frequency GPRs. For moist soil, this means that the subsurface wavelength may range from a fraction of the target size to an order of magnitude larger. With a transmitting antenna representation that produces typical subsurface GPR beam features, combined effects of positional, orientation, and frequency diversity are investigated. Despite long wavelengths, results show distinctive features in reflections obtained from contrasting example target shapes. Full polarimetric analysis suggests the capability for inferring the length of elongated targets, aspect ratio and rotational symmetry, and gross shape along the axis for either elongated or flattened bodies of revolution in problematical orientations.

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Section: Governing Equationsmentioning

confidence: 99%

“…It requires innovative surveying, classification, risk assessment, and remediation approaches [1]. It has been estimated that in the United States alone, there are over 11 000 000 acres in which subsurface UXO is a potential hazard [2]. The problem comes particularly to the fore as military lands are passed to public use or private ownership.…”

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confidence: 99%

Discrimination of UXO in soil using broadband polarimetric GPR backscatter

O’Neill

2001

IEEE Trans. Geosci. Remote Sensing

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“…It has been estimated that over 800 locations and 11 million acres in the United States alone have been potentially contaminated with unexploded ordnance. 1 The cleanup of these sites has become of particular importance in this era of base realignment and closure. The estimated cleanup of sites in this category alone is over $4 billion.…”

Section: Introductionmentioning

confidence: 99%

Visual ordnance recognition for clearing test ranges

Olson

Matthies

1998

SPIE Proceedings

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We describe a method for recognizing surface-lying ordnance in test ranges using stereo range information and image edge maps. This method is to be used by an unmanned ground vehicle (UGV) surveying the test range for autonomous clearing of ordnance. We concentrate on a particular type of cylindrical ordnance (BLU-97) in current usage in U.S. military test ranges. In order to locate instances of the ordnance, we employ a stereo pair of cameras to be mounted on top of a UGV. Parallel segments corresponding to the occluding contours of the ordnance are detected in the imagery using robust and efficient model extraction techniques. The stereo range data is used to adaptively select the local scale for edge detection and to place constraints on the search space for the parallel segment extraction. Initial tests indicate that robust recognition is possible in near real-time with a low rate of false positives.

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“…It is also not in production yet. [3,6,7,8] However, many of these deficiencies are being rectified.…”

Section: Single Sensorsmentioning

confidence: 99%

“…Also, there are vast areas of land which have been used by the military for live-firetesting and training activities, which are contaminated with landmines have been laid, without the forethought of mapping their positions. [8] It is for all these reasons that the detection and removal of landmines has become an important area of research.…”

Section: Crennieqelecenguctaczamentioning

confidence: 99%

Sensor fusion in the detection of land mines

Rennie

Inggs²

Proceedings of the 1997 South African Symposium on Communications and Signal Processing. COMSIG '97

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Abstmct-A number of sensors have been identified suitable for basic detection of land mines. It seems that sensor fusion offers an improved method for an improvement in .False alarm rate without large reduction in detection probability. The paper states the internatioiial scope of the land mine infestation problem, and the range of sensors and their characteristics. A simulation of a number of sensors is in progress. This simulation will allow important decisions to be made concerning the choice of sensor and weighting algorithms.

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<title>Detecting UXO: putting it all into perspective</title>

Cited by 4 publications

References 0 publications

Discrimination of UXO in soil using broadband polarimetric GPR backscatter

Discrimination of UXO in soil using broadband polarimetric GPR backscatter

Visual ordnance recognition for clearing test ranges

Sensor fusion in the detection of land mines

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