24.8.6.11.3 Ground Penetrating Radar, UXO, Landmines, Explosives

Chapter Contents (Back)
Landmines. Land Mines. UXO.
See also Ground Penetrating Radar Systems.
See also Ground Penetrating Radar, Buried Objects.

Carin, L., Kapoor, R., Baum, C.E.,
Polarimetric SAR Imaging of Buried Landmines,
GeoRS(36), No. 6, November 1998, pp. 1985.
IEEE Top Reference. BibRef 9811

van der Merwe, A., Gupta, I.J.,
A Novel Signal Processing Technique for Clutter Reduction in GPR Measurements of Small, Shallow Land Mines,
GeoRS(38), No. 6, November 2000, pp. 2627-2638.
IEEE Top Reference. 0011
BibRef

Gu, I.Y.H.[Irene Yu-Hua], Tjahjadi, T.[Tardi],
Detecting and locating landmine fields from vehicle- and air-borne measured IR Images,
PR(35), No. 12, December 2002, pp. 3001-3014.
Elsevier DOI 0209
BibRef

Sletten, M.A.,
Ultrawideband Radar Images of the Surface Disturbance Produced by a Submerged, Mine-Like Object,
GeoRS(38), No. 6, November 2000, pp. 2506-2514.
IEEE Top Reference. 0011
Land Mines. BibRef

Stanley, R.J., Gader, P.D., Ho, D.,
Feature and decision level sensor fusion of electromagnetic induction and ground penetrating radar sensors for landmine detection with hand-held units,
Information Fusion(3), No. 3, September 2002, pp. 215-223. BibRef 0209

Gader, P.D., Nelson, B.N., Frigui, H., Vaillette, G., Keller, J.M.,
Fuzzy logic detection of landmines with ground penetrating radar,
SP(80), No. 6, June 2000, pp. 1069-1084. 0008
BibRef

Missaoui, O., Frigui, H., Gader, P.D.,
Land-Mine Detection With Ground-Penetrating Radar Using Multistream Discrete Hidden Markov Models,
GeoRS(49), No. 6, June 2011, pp. 2080-2099.
IEEE DOI 1106
BibRef

Nelson, B.N.[Bruce N.],
Region of Interest Identification, Feature Extraction, and Information Fusion in a Forward Looking Infrared Sensor Used in Landmine Detection,
CVBVS00(94).
IEEE DOI 0006
BibRef

Ho, K.C., Gader, P.D.,
A linear prediction land mine detection algorithm for hand held ground penetrating radar,
GeoRS(40), No. 6, June 2002, pp. 1374-1384.
IEEE Top Reference. 0208
BibRef

Zhao, Y.X.[Yun-Xin], Gader, P.D., Chen, P.[Ping], Zhang, Y.[Yue],
Training DHMMs of mine and clutter to minimize landmine detection errors,
GeoRS(41), No. 5, May 2003, pp. 1016-1024.
IEEE Abstract. 0307
BibRef

Hocaoglu, A.K., Gader, P.D.,
Generalizations of Morphological Shared Weight Networks Using Choquet Integrals with Applications to Ground Penetrating Radar Based Land Mine Detection,
CVBVS01(xx-yy). 0110

See also Morphological Shared-Weight Networks with Applications to Automatic Target Recognition. BibRef

Gader, P.D.,
Pattern recognition for humanitarian de-mining,
ICPR02(II: 521-522).
IEEE DOI 0211
BibRef

Wilson, J.N., Gader, P.D., Lee, W.H., Frigui, H., Ho, K.C.,
A Large-Scale Systematic Evaluation of Algorithms Using Ground-Penetrating Radar for Landmine Detection and Discrimination,
GeoRS(45), No. 8, August 2007, pp. 2560-2572.
IEEE DOI 0709
BibRef

Byrnes, J.[James], (Ed.)
Unexploded Ordnance Detection and Mitigation,
Springer2009, ISBN: 978-1-4020-9252-7
WWW Link. Survey, UXO. NATO Advanced Study Institute on Unexploded Ordnance Detection and Mitigation Il Ciocco 20 July - 2 August 2008. Buy this book: Unexploded Ordnance Detection and Mitigation (NATO Science for Peace and Security Series B: Physics and Biophysics) BibRef 0900

Beran, L., Oldenburg, D.W.,
Selecting a Discrimination Algorithm for Unexploded Ordnance Remediation,
GeoRS(46), No. 9, September 2008, pp. 2547-2557.
IEEE DOI 0810
BibRef

Beran, L., Billings, S., Oldenburg, D.,
Incorporating Uncertainty in Unexploded Ordnance Discrimination,
GeoRS(49), No. 8, August 2011, pp. 3071-3080.
IEEE DOI 1108
BibRef

Liu, Q., Liao, X., Carin, L.,
Detection of Unexploded Ordnance via Efficient Semisupervised and Active Learning,
GeoRS(46), No. 9, September 2008, pp. 2558-2567.
IEEE DOI 0810
BibRef

Anderson, D.T.[Derek T.], Price, S.R.[Stanton R.], Havens, T.C.[Timothy C.], Pinar, A.J.[Anthony J.],
Computational intelligence in explosive hazard detection,
SPIE(Newsroom), December 24, 2015
DOI Link 1602
Computational intelligence enables forward-looking explosive hazard detection at all stages in single- and multi-sensor signal processing. BibRef

Malof, J.M., Reichman, D., Karem, A., Frigui, H., Ho, K.C., Wilson, J.N., Lee, W., Cummings, W.J., Collins, L.M.,
A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar,
GeoRS(57), No. 9, September 2019, pp. 6929-6945.
IEEE DOI 1909
Ground penetrating radar, Radar antennas, Antenna arrays, Sensors, Machine learning algorithms, Arrays, landmine detection BibRef

Ng, W., Chan, T.C.T., So, H.C., Ho, K.C.,
Particle Filtering Based Approach for Landmine Detection Using Ground Penetrating Radar,
GeoRS(46), No. 11, November 2008, pp. 3739-3755.
IEEE DOI 0812
BibRef

Ho, K.C., Carin, L., Gader, P.D., Wilson, J.N.,
An Investigation of Using the Spectral Characteristics From Ground Penetrating Radar for Landmine/Clutter Discrimination,
GeoRS(46), No. 4, April 2008, pp. 1177-1191.
IEEE DOI 0803
BibRef

Xu, Y.[Yi], Narayanan, R.M., Xu, X.J.[Xiao-Jian], Curtis, J.O.,
Polarimetric processing of coherent random noise radar data for buried object detection,
GeoRS(39), No. 3, March 2001, pp. 467-478.
IEEE Top Reference. 0104
Land Mines. BibRef

Schroder, C.T., Scott, W.R., Larson, G.D.,
Elastic waves interacting with buried land mines: A study using the FDTD method,
GeoRS(40), No. 6, June 2002, pp. 1405-1415.
IEEE Top Reference. 0208
BibRef

El-Shenawee, M., Rappaport, C.M.,
Monte carlo simulations for clutter statistics in minefields: AP-mine-like-target buried near a dielectric object beneath 2-D random rough ground surfaces,
GeoRS(40), No. 6, June 2002, pp. 1416-1426.
IEEE Top Reference. 0208
BibRef

Stiles, J.M., Apte, A.V., Beh, B.,
A group-theoretic analysis of symmetric target scattering with application to landmine detection,
GeoRS(40), No. 8, August 2002, pp. 1802-1814.
IEEE Top Reference. 0210
BibRef

Milisavljevic, N.[Nada], Bloch, I.[Isabelle], van den Broek, S.[Sebastiaan], Acheroy, M.[Marc],
Improving mine recognition through processing and Dempster-Shafer fusion of ground-penetrating radar data,
PR(36), No. 5, May 2003, pp. 1233-1250.
Elsevier DOI 0301
BibRef

Milisavljevic, N.[Nada], Bloch, I.[Isabelle],
Sensor fusion in anti-personnel mine detection using a two-level belief function model,
SMC-C(33), No. 2, May 2003, pp. 269-283.
IEEE Abstract. 0308
BibRef

Milisavljevic, N.[Nada], Bloch, I.[Isabelle],
Possibilistic Versus Belief Function Fusion for Antipersonnel Mine Detection,
GeoRS(46), No. 5, May 2008, pp. 1488-1498.
IEEE DOI 0804
BibRef

Khanafer, K., Vafai, K., Baertlein, B.A.,
Effects of thin metal outer case and top air gap on thermal IR images of buried antitank and antipersonnel land mines,
GeoRS(41), No. 1, January 2003, pp. 123-135.
IEEE Top Reference. 0304
BibRef

Batman, S., Goutsias, J.,
Unsupervised iterative detection of land mines in highly cluttered environments,
IP(12), No. 5, May 2003, pp. 509-523.
IEEE DOI 0307
BibRef

Ho, K.C., Collins, L.M., Huettel, L.G., Gader, P.D.,
Discrimination Mode Processing for EMI and GPR Sensors for Hand-Held Land Mine Detection,
GeoRS(42), No. 1, January 2004, pp. 249-263.
IEEE Abstract. 0402
BibRef

Zhu, Q., Collins, L.M.,
Application of Feature Extraction Methods for Landmine Detection Using the Wichmann/Niitek Ground-Penetrating Radar,
GeoRS(43), No. 1, January 2005, pp. 81-85.
IEEE Abstract. 0501
BibRef

Song, J., Liu, Q.H., Torrione, P., Collins, L.M.,
Two-Dimensional and Three-Dimensional NUFFT Migration Method for Landmine Detection Using Ground-Penetrating Radar,
GeoRS(44), No. 6, June 2006, pp. 1462-1469.
IEEE DOI 0606
BibRef

Torrione, P., Collins, L.M.,
Texture Features for Antitank Landmine Detection Using Ground Penetrating Radar,
GeoRS(45), No. 7, July 2007, pp. 2374-2382.
IEEE DOI 0707
BibRef

Lee, W.H., Gader, P.D., Wilson, J.N.,
Optimizing the Area Under a Receiver Operating Characteristic Curve With Application to Landmine Detection,
GeoRS(45), No. 2, February 2007, pp. 389-397.
IEEE DOI 0703
BibRef

Wang, T., Keller, J.M., Gader, P.D., Sjahputera, O.,
Frequency Subband Processing and Feature Analysis of Forward-Looking Ground-Penetrating Radar Signals for Land-Mine Detection,
GeoRS(45), No. 3, March 2007, pp. 718-729.
IEEE DOI 0703
BibRef

Sai, B., Ligthart, L.P.,
GPR Phase-Based Techniques for Profiling Rough Surfaces and Detecting Small, Low-Contrast Landmines Under Flat Ground,
GeoRS(42), No. 2, February 2004, pp. 318-326.
IEEE Abstract. 0403
BibRef

Kansal, S., Cook, G.,
Use of Fiducials and Unsurveyed Landmarks as Geolocation Tools in Vehicular-Based Landmine Search,
GeoRS(43), No. 6, June 2005, pp. 1432-1439.
IEEE Abstract. 0506
BibRef

Sun, K., O'Neill, K., Shubitidze, F., Shamatava, I., Paulsen, K.D.,
Fast data-derived fundamental spheroidal excitation models with application to UXO discrimination,
GeoRS(43), No. 11, November 2005, pp. 2573-2583.
IEEE DOI 0512
BibRef

Potin, D., Vanheeghe, P., Duflos, E., Davy, M.,
An Abrupt Change Detection Algorithm for Buried Landmines Localization,
GeoRS(44), No. 2, February 2006, pp. 260-272.
IEEE DOI 0602
BibRef

Potin, D., Duflos, E., Vanheeghe, P.,
Landmines Ground-Penetrating Radar Signal Enhancement by Digital Filtering,
GeoRS(44), No. 9, September 2006, pp. 2393-2406.
IEEE DOI 0609
BibRef

Church, P., McFee, J.E., Gagnon, S., Wort, P.,
Electrical Impedance Tomographic Imaging of Buried Landmines,
GeoRS(44), No. 9, September 2006, pp. 2407-2420.
IEEE DOI 0609
BibRef

Fischer, C., Herschlein, A., Younis, M., Wiesbeck, W.,
Detection of Antipersonnel Mines by Using the Factorization Method on Multistatic Ground-Penetrating Radar Measurements,
GeoRS(45), No. 1, January 2007, pp. 85-92.
IEEE DOI 0701
BibRef

Savelyev, T.G., van Kempen, L., Sahli, H., Sachs, J., Sato, M.,
Investigation of Time-Frequency Features for GPR Landmine Discrimination,
GeoRS(45), No. 1, January 2007, pp. 118-129.
IEEE DOI 0701
BibRef

Thnh, N.T., Sahli, H., Ho, D.N.,
Finite-Difference Methods and Validity of a Thermal Model for Landmine Detection With Soil Property Estimation,
GeoRS(45), No. 3, March 2007, pp. 656-674.
IEEE DOI 0703
BibRef

Thanh, N.T, Sahli, H., Hao, D.N,
Infrared Thermography for Buried Landmine Detection: Inverse Problem Setting,
GeoRS(46), No. 12, December 2008, pp. 3987-4004.
IEEE DOI 0812
BibRef

Lopera, O., Slob, E.C., Milisavljevic, N., Lambot, S.,
Filtering Soil Surface and Antenna Effects From GPR Data to Enhance Landmine Detection,
GeoRS(45), No. 3, March 2007, pp. 707-717.
IEEE DOI 0703
BibRef

He, L., Ji, S., Scott, W.R., Carin, L.[Lawrence],
Adaptive Multimodality Sensing of Landmines,
GeoRS(45), No. 6, June 2007, pp. 1756-1774.
IEEE DOI 0706
BibRef

Williams, D.[David], Wang, C., Liao, X.J.[Xue-Jun], Carin, L.[Lawrence],
Classification of Unexploded Ordnance Using Incomplete Multisensor Multiresolution Data,
GeoRS(45), No. 7, July 2007, pp. 2364-2373.
IEEE DOI 0707

See also On Classification with Incomplete Data. BibRef

Masuyama, S., Hirose, A.,
Walled LTSA Array for Rapid, High Spatial Resolution, and Phase-Sensitive Imaging to Visualize Plastic Landmines,
GeoRS(45), No. 8, August 2007, pp. 2536-2543.
IEEE DOI 0709
BibRef

Jin, T., Zhou, Z.,
Ultrawideband Synthetic Aperture Radar Landmine Detection,
GeoRS(45), No. 11, November 2007, pp. 3561-3573.
IEEE DOI 0709
BibRef

Jin, T., Zhou, Z.,
Feature Extraction and Discriminator Design for Landmine Detection on Double-Hump Signature in Ultrawideband SAR,
GeoRS(46), No. 11, November 2008, pp. 3783-3791.
IEEE DOI 0812
BibRef

Zare, A., Bolton, J.[Jeremy], Gader, P.D.[Paul D.], Schatten, M.,
Vegetation Mapping for Landmine Detection Using Long-Wave Hyperspectral Imagery,
GeoRS(46), No. 1, January 2008, pp. 172-178.
IEEE DOI 0712
BibRef

Frigui, H., Zhang, L., Gader, P.D.,
Context-Dependent Multisensor Fusion and Its Application to Land Mine Detection,
GeoRS(48), No. 6, June 2010, pp. 2528-2543.
IEEE DOI 1006
BibRef

Thomas, A.M., Cathcart, J.M.,
Applications of Grid Pattern Matching to the Detection of Buried Landmines,
GeoRS(48), No. 9, September 2010, pp. 3465-3470.
IEEE DOI 1008
BibRef

Ratto, C.R., Torrione, P.A., Collins, L.M.,
Exploiting Ground-Penetrating Radar Phenomenology in a Context-Dependent Framework for Landmine Detection and Discrimination,
GeoRS(49), No. 5, May 2011, pp. 1689-1700.
IEEE DOI 1105
BibRef

Lou, J.[Jun], Jin, T.[Tian], Liang, F.[Fulai], Zhou, Z.M.[Zhi-Min],
A Novel Prescreening Method for Land-Mine Detection in UWB SAR Based on Feature Point Matching,
GeoRS(51), No. 6, 2013, pp. 3706-3714.
IEEE DOI 1307
landmine detection; clutter environments BibRef

Weichman, P.B.,
Validation of Advanced EM Models for UXO Discrimination,
GeoRS(51), No. 7, 2013, pp. 3954-3967.
IEEE DOI 1307
Current measurement BibRef

Li, Y.[Yaoguo], Devriese, S.G.R., Krahenbuhl, R.A., Davis, K.,
Enhancement of Magnetic Data by Stable Downward Continuation for UXO Application,
GeoRS(51), No. 6, 2013, pp. 3605-3614.
IEEE DOI 1307
UXO application; magnetic anomalies BibRef

Takahashi, K., Igel, J., Preetz, H., Sato, M.,
Influence of Heterogeneous Soils and Clutter on the Performance of Ground-Penetrating Radar for Landmine Detection,
GeoRS(52), No. 6, June 2014, pp. 3464-3472.
IEEE DOI 1403
Clutter BibRef

Fandos, R., Zoubir, A.M., Siantidis, K.,
Unified Design of a Feature-Based ADAC System for Mine Hunting Using Synthetic Aperture Sonar,
GeoRS(52), No. 5, May 2014, pp. 2413-2426.
IEEE DOI 1403
Clutter BibRef

Esposito, S., Fallavollita, P., Corcione, M., Balsi, M.,
Experimental Validation of an Active Thermal Landmine Detection Technique,
GeoRS(52), No. 4, April 2014, pp. 2040-2047.
IEEE DOI 1403
infrared detectors BibRef

Torrione, P.A., Morton, K.D., Sakaguchi, R., Collins, L.M.,
Histograms of Oriented Gradients for Landmine Detection in Ground-Penetrating Radar Data,
GeoRS(52), No. 3, March 2014, pp. 1539-1550.
IEEE DOI 1403
feature extraction BibRef

Manandhar, A., Torrione, P.A., Collins, L.M., Morton, K.D.,
Multiple-Instance Hidden Markov Model for GPR-Based Landmine Detection,
GeoRS(53), No. 4, April 2015, pp. 1737-1745.
IEEE DOI 1502
expectation-maximisation algorithm BibRef

Malof, J.M., Morton, K.D., Collins, L.M., Torrione, P.A.,
A Probabilistic Model for Designing Multimodality Landmine Detection Systems to Improve Rates of Advance,
GeoRS(54), No. 9, September 2016, pp. 5258-5270.
IEEE DOI 1609
geophysical equipment BibRef

Sakaguchi, R., Morton, K.D., Collins, L.M., Torrione, P.A.,
A Comparison of Feature Representations for Explosive Threat Detection in Ground Penetrating Radar Data,
GeoRS(55), No. 12, December 2017, pp. 6736-6745.
IEEE DOI 1712
Explosives, Feature extraction, Ground penetrating radar, Histograms, Image edge detection, machine learning BibRef

Bijamov, A., Fernandez, J.P., Barrowes, B.E., Shamatava, I., O'Neill, K., Shubitidze, F.,
Camp Butner Live-Site UXO Classification Using Hierarchical Clustering and Gaussian Mixture Modeling,
GeoRS(52), No. 8, August 2014, pp. 5218-5229.
IEEE DOI 1403
Arrays BibRef

Schofield, J., Daniels, D., Hammerton, P.,
A Multiple Migration and Stacking Algorithm Designed for Land Mine Detection,
GeoRS(52), No. 11, November 2014, pp. 6983-6988.
IEEE DOI 1407
Detectors BibRef

Fei, T.[Tai], Kraus, D., Zoubir, A.M.,
Contributions to Automatic Target Recognition Systems for Underwater Mine Classification,
GeoRS(53), No. 1, January 2015, pp. 505-518.
IEEE DOI 1410
feature selection BibRef

Núñez-Nieto, X.[Xavier], Solla, M.[Mercedes], Gómez-Pérez, P.[Paula], Lorenzo, H.[Henrique],
GPR Signal Characterization for Automated Landmine and UXO Detection Based on Machine Learning Techniques,
RS(6), No. 10, 2014, pp. 9729-9748.
DOI Link 1411
BibRef

Klesk, P.[Przemyslaw], Godziuk, A., Kapruziak, M.[Mariusz], Olech, B.[Bogdan],
Fast Analysis of C-Scans From Ground Penetrating Radar via 3-D Haar-Like Features With Application to Landmine Detection,
GeoRS(53), No. 7, July 2015, pp. 3996-4009.
IEEE DOI 1503
Antennas BibRef

Klesk, P.[Przemyslaw], Kapruziak, M.[Mariusz], Olech, B.[Bogdan],
Fast Extraction of 3D Fourier Moments via Multiple Integral Images: An Application to Antitank Mine Detection in GPR C-Scans,
ICCVG16(206-220).
Springer DOI 1611
BibRef

Krueger, K.R., McClellan, J.H., Scott, W.R.,
Efficient Algorithm Design for GPR Imaging of Landmines,
GeoRS(53), No. 7, July 2015, pp. 4010-4021.
IEEE DOI 1503
Convolution BibRef

Yuksel, S.E., Bolton, J., Gader, P.,
Multiple-Instance Hidden Markov Models With Applications to Landmine Detection,
GeoRS(53), No. 12, December 2015, pp. 6766-6775.
IEEE DOI 1512
expectation-maximisation algorithm BibRef

Giannakis, I., Giannopoulos, A., Yarovoy, A.,
Model-Based Evaluation of Signal-to-Clutter Ratio for Landmine Detection Using Ground-Penetrating Radar,
GeoRS(54), No. 6, June 2016, pp. 3564-3573.
IEEE DOI 1606
finite difference methods BibRef

Makki, I.[Ihab], Younes, R.[Rafic], Francis, C.[Clovis], Bianchi, T.[Tiziano], Zucchetti, M.[Massimo],
A survey of landmine detection using hyperspectral imaging,
PandRS(124), No. 1, 2017, pp. 40-53.
Elsevier DOI 1702
Hyperspectral imaging BibRef

Comite, D., Ahmad, F., Liao, D., Dogaru, T., Amin, M.G.,
Multiview Imaging for Low-Signature Target Detection in Rough-Surface Clutter Environment,
GeoRS(55), No. 9, September 2017, pp. 5220-5229.
IEEE DOI 1709
ground penetrating radar, Landmine detection, BibRef

El Moubtahij, R.[Redouane], Merad, D.[Djamal], Damoisaux, J.L.[Jean-Luc], Drap, P.[Pierre],
Mine Detection Based on Adaboost and Polynomial Image Decomposition,
CIAP17(I:660-670).
Springer DOI 1711
BibRef

Nikulin, A.[Alex], de Smet, T.S.[Timothy S.], Baur, J.[Jasper], Frazer, W.D.[William D.], Abramowitz, J.C.[Jacob C.],
Detection and Identification of Remnant PFM-1 'Butterfly Mines' with a UAV-Based Thermal-Imaging Protocol,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Song, X.J.[Xiao-Ji], Liu, T.[Tao], Xiang, D.L.[De-Liang], Su, Y.[Yi],
GPR Antipersonnel Mine Detection Based on Tensor Robust Principal Analysis,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Tivive, F.H.C., Bouzerdoum, A., Abeynayake, C.,
GPR Target Detection by Joint Sparse and Low-Rank Matrix Decomposition,
GeoRS(57), No. 5, May 2019, pp. 2583-2595.
IEEE DOI 1905
explosives, ground penetrating radar, landmine detection, matrix decomposition, object detection, radar clutter, target detection BibRef

Bechtel, T.[Timothy], Truskavetsky, S.[Stanislav], Pochanin, G.[Gennadiy], Capineri, L.[Lorenzo], Sherstyuk, A.[Alexander], Viatkin, K.[Konstantin], Byndych, T.[Tatyana], Ruban, V.[Vadym], Varyanitza-Roschupkina, L.[Liudmyla], Orlenko, O.[Oleksander], Kholod, P.[Pavlo], Falorni, P.[Pierluigi], Bulletti, A.[Andrea], Bossi, L.[Luca], Crawford, F.[Fronefield],
Characterization of Electromagnetic Properties of In Situ Soils for the Design of Landmine Detection Sensors: Application in Donbass, Ukraine,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Manley, P.V.[Paul V.], Sagan, V.[Vasit], Fritschi, F.B.[Felix B.], Burken, J.G.[Joel G.],
Remote Sensing of Explosives-Induced Stress in Plants: Hyperspectral Imaging Analysis for Remote Detection of Unexploded Threats,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Garcia-Fernandez, M.[Maria], Morgenthaler, A.[Ann], Alvarez-Lopez, Y.[Yuri], Heras, F.L.[Fernando Las], Rappaport, C.[Carey],
Bistatic Landmine and IED Detection Combining Vehicle and Drone Mounted GPR Sensors,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Zhou, Y., Chen, W.,
MCA-Based Clutter Reduction From Migrated GPR Data of Shallowly Buried Point Target,
GeoRS(57), No. 1, January 2019, pp. 432-448.
IEEE DOI 1901
Clutter, Ground penetrating radar, Dictionaries, Transforms, Morphology, Shape, Landmine detection, Clutter reduction, migration, sparse representation BibRef

Garcia-Fernandez, M.[Maria], Alvarez-Lopez, Y.[Yuri], Heras, F.L.[Fernando Las],
Autonomous Airborne 3D SAR Imaging System for Subsurface Sensing: UWB-GPR on Board a UAV for Landmine and IED Detection,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Giovanneschi, F., Mishra, K.V., Gonzalez-Huici, M.A., Eldar, Y.C., Ender, J.H.G.,
Dictionary Learning for Adaptive GPR Landmine Classification,
GeoRS(57), No. 12, December 2019, pp. 10036-10055.
IEEE DOI 1912
Ground penetrating radar, Landmine detection, Support vector machines, Training, Machine learning, Dictionaries, sparse decomposition BibRef

Baur, J.[Jasper], Steinberg, G.[Gabriel], Nikulin, A.[Alex], Chiu, K.[Kenneth], de Smet, T.S.[Timothy S.],
Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Pambudi, A.D., Fauß, M., Ahmad, F., Zoubir, A.M.,
Minimax Robust Landmine Detection Using Forward-Looking Ground-Penetrating Radar,
GeoRS(58), No. 7, July 2020, pp. 5032-5041.
IEEE DOI 2006
Landmine detection, Clutter, Rough surfaces, Surface roughness, Light rail systems, Tomography, Detectors, Density band model, robust statistic BibRef

Tajdini, M.M., Gonzalez-Valdes, B., Martinez-Lorenzo, J.A., Morgenthaler, A.W., Rappaport, C.M.,
Real-Time Modeling of Forward-Looking Synthetic Aperture Ground Penetrating Radar Scattering From Rough Terrain,
GeoRS(57), No. 5, May 2019, pp. 2754-2765.
IEEE DOI 1905
electromagnetic wave scattering, finite difference methods, frequency-domain analysis, ground penetrating radar, subsurface detection BibRef

Tajdini, M.M., Morgenthaler, A.W., Rappaport, C.M.,
Multiview Synthetic Aperture Ground-Penetrating Radar Detection in Rough Terrain Environment: A Real-Time 3-D Forward Model,
GeoRS(58), No. 5, May 2020, pp. 3400-3410.
IEEE DOI 2005
Computational electromagnetics (EMs), ground-penetrating radar (GPR), landmine detection, rough surface scattering BibRef

Bestagini, P., Lombardi, F., Lualdi, M., Picetti, F., Tubaro, S.,
Landmine Detection Using Autoencoders on Multipolarization GPR Volumetric Data,
GeoRS(59), No. 1, January 2021, pp. 182-195.
IEEE DOI 2012
Ground penetrating radar, Landmine detection, Anomaly detection, Training, Machine learning, Soil, machine learning BibRef

Bajic, M.[Milan], Bajic, M.[Milan],
Modeling and Simulation of Very High Spatial Resolution UXOs and Landmines in a Hyperspectral Scene for UAV Survey,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Mu, Y.X.[Ya-Xin], Xie, W.[Wupeng], Zhang, X.J.[Xiao-Juan],
The Joint UAV-Borne Magnetic Detection System and Cart-Mounted Time Domain Electromagnetic System for UXO Detection,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Ibraheem, I.M.[Ismael M.], Aladad, H.[Hasan], Alnaser, M.F.[Mohamad Faek], Stephenson, R.[Randell],
IAS: A New Novel Phase-Based Filter for Detection of Unexploded Ordnances,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Hammond, T.R.[Tim R.], Midtgaard, Ø.[Øivind], Connors, W.A.[Warren A.],
A Bayesian Network Approach to Evaluating the Effectiveness of Modern Mine Hunting,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Kolster, M.E.[Mick Emil], Wigh, M.D.[Mark David], Lima Simões da Silva, E.[Eduardo], Vilhelmsen, T.B.[Tobias Bjerg], Døssing, A.[Arne],
High-Speed Magnetic Surveying for Unexploded Ordnance Using UAV Systems,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Pryshchenko, O.A.[Oleksandr A.], Plakhtii, V.[Vadym], Dumin, O.M.[Oleksandr M.], Pochanin, G.P.[Gennadiy P.], Ruban, V.P.[Vadym P.], Capineri, L.[Lorenzo], Crawford, F.[Fronefield],
Implementation of an Artificial Intelligence Approach to GPR Systems for Landmine Detection,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Bajic, M.[Milan], Potocnik, B.[Božidar],
UAV Thermal Imaging for Unexploded Ordnance Detection by Using Deep Learning,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Lee, J.[Junghan], Lee, H.[Haengseon], Ko, S.[Sunghyub], Ji, D.[Daehyeong], Hyeon, J.[Jongwu],
Modeling and Implementation of a Joint Airborne Ground Penetrating Radar and Magnetometer System for Landmine Detection,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Lee, J.[Junghan], Lee, H.[Haengseon], Ko, S.[Sunghyub], Ji, D.[Daehyeong], Hyeon, J.[Jongwu],
Modeling and Implementation of a Joint Airborne Ground Penetrating Radar and Magnetometer System for Landmine Detection,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Bi, F.Y.[Feng-Yi], Yu, P.[Ping], Jiao, J.[Jian], Zhou, L.R.[Long-Ran], Zeng, X.C.[Xiang-Cheng], Zhou, S.[Shuai],
An Adaptive Modeling-Based Aeromagnetic Maneuver Noise Suppression Method and Its Application in Mine Detection,
RS(15), No. 18, 2023, pp. 4590.
DOI Link 2310
BibRef

Vivoli, E.[Emanuele], Bertini, M.[Marco], Capineri, L.[Lorenzo],
Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging,
RS(16), No. 4, 2024, pp. 677.
DOI Link 2402
BibRef


Song, Y., Köser, K., Kwasnitschka, T., Koch, R.,
Iterative Refinement for Underwater 3D Reconstruction: Application To Disposed Underwater Munitions in the Baltic Sea,
Underwater19(181-187).
DOI Link 1904
BibRef

Elkazaz, S.[Sahar], Hussein, M.E.[Mohamed E.], El-Mahdy, A.[Ahmed], Ishikawa, H.[Hiroshi],
Towards Landmine Detection Using Ubiquitous Satellite Imaging,
ISVC16(I: 257-267).
Springer DOI 1701
BibRef

Krtalic, A.,
Analysis Of The Segmented Features Of Indicator Of Mine Presence,
ISPRS16(B3: 519-526).
DOI Link 1610
BibRef

Isaacs, J.C.[Jason C.],
Sonar automatic target recognition for underwater UXO remediation,
PBVS15(134-140)
IEEE DOI 1510
Apertures BibRef

Anderson, D.T., Farrell, J., Stone, K., Keller, J.M., Spain, C.,
Fusion of anomaly algorithm decision maps and spectrum features for detecting buried explosive Hazards in forward looking infrared imagery,
AIPR11(1-8).
IEEE DOI 1204
BibRef

Williams, D.P.[David P.],
Underwater Mine Classification with Imperfect Labels,
ICPR10(4157-4161).
IEEE DOI 1008
BibRef

Walker, B.B.[Blake Byron],
Qualitative Strategies for Landmine Location Estimation in Western Sahara,
CGC10(323).
PDF File. 1006
BibRef

Mahar, K.M.[Khaled M.], Ibrahim, M.S.[Mohamed S.], Riad, M.Z.[Mary Zarif],
Landmines recognition system using thermovision techniques,
ICIP09(585-588).
IEEE DOI 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 Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Magnetic, Electromagnetic Detection for Buried Objects, UXO, Landmines .


Last update:Apr 18, 2024 at 11:38:49