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See also On Classification with Incomplete Data.
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0712
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landmine detection; clutter environments
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Validation of Advanced EM Models for UXO Discrimination,
GeoRS(51), No. 7, 2013, pp. 3954-3967.
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UXO application; magnetic anomalies
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Takahashi, K.,
Igel, J.,
Preetz, H.,
Sato, M.,
Influence of Heterogeneous Soils and Clutter on the Performance of
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1403
Clutter
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Fandos, R.,
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1403
Clutter
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Esposito, S.,
Fallavollita, P.,
Corcione, M.,
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Experimental Validation of an Active Thermal Landmine Detection
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GeoRS(52), No. 4, April 2014, pp. 2040-2047.
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1403
infrared detectors
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1403
feature extraction
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Manandhar, A.,
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Computer vision, Explosives, Feature extraction,
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1407
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GeoRS(53), No. 1, January 2015, pp. 505-518.
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feature selection
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Klesk, P.[Przemyslaw],
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Fast Extraction of 3D Fourier Moments via Multiple Integral Images: An
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Springer DOI
1611
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1503
Convolution
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1512
expectation-maximisation algorithm
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Giannakis, I.,
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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,
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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 .