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Validation of Advanced EM Models for UXO Discrimination,
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1403
Clutter
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1403
Clutter
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GeoRS(52), No. 4, April 2014, pp. 2040-2047.
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1403
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1403
feature extraction
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Computer vision, Explosives, Feature extraction,
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feature selection
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1611
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1503
Convolution
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1512
expectation-maximisation algorithm
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1709
ground penetrating radar,
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GPR Target Detection by Joint Sparse and Low-Rank Matrix
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IEEE DOI
1905
explosives, ground penetrating radar, landmine detection,
matrix decomposition, object detection, radar clutter,
target detection
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Ground penetrating radar, Landmine detection,
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Landmine detection, Clutter, Rough surfaces, Surface roughness,
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Analysis Of The Segmented Features Of Indicator Of Mine Presence,
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Underwater Mine Classification with Imperfect Labels,
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0911
BibRef
Wang, T.S.[Tie-Sheng],
Gu, I.Y.H.[Irene Yu-Hua],
Tjahjadi, T.[Tardi],
Enhanced Landmine Detection from Low Resolution IR Image Sequences,
CAIP09(1236-1244).
Springer DOI
0909
BibRef
Saisan, P.[Payam],
Kadambe, S.[Shubha],
Shape normalized subspace analysis for underwater mine detection,
ICIP08(1892-1895).
IEEE DOI
0810
BibRef
Bhuiyan, A.[Alauddin],
Nath, B.[Baikunth],
Anti-personnel Mine Detection and Classification Using GPR Image,
ICPR06(II: 1082-1085).
IEEE DOI
0609
BibRef
Merler, S.[Stefano],
Furlanello, C.[Cesare],
Jurman, G.[Giuseppe],
Machine Learning on Historic Air Photographs for Mapping Risk of
Unexploded Bombs,
CIAP05(735-742).
Springer DOI
0509
BibRef
Sorensen, H.,
Jakobsen, K., and
Nymann, O.,
Identification of Mine-Shaped Objects Based on an
Efficient Phase Stepped-Frequency Radar Approach,
ICIP97(III: 142-145).
IEEE DOI
BibRef
9700
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Magnetic, Electromagnetic Detection for Buried Objects, UXO, Landmines .