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Peer Reviewed Conference Papers:
You may also access my publications from the Google Scholar database.
Works with advisees (undergraduate and graduate students) are indicated with their names being underlined.
You may also access my publications from the Google Scholar database.
Works with advisees (undergraduate and graduate students) are indicated with their names being underlined.
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2024
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2023
93. Deep Sparse Array Design for Integrated Sensing and Communications
A. M. Elbir, K. V. Mishra and A. C. Gurbuz, 2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5, doi: 10.1109/RADAR54928.2023.10371037. 92. Radar-Lidar Fusion for Classification of Traffic Signaling Motion in Automotive Applications, S. Biswas, J. E. Ball and A. C. Gurbuz, 2023 IEEE International Radar Conference (RADAR), Sydney, Australia, 2023, pp. 1-5, doi: 10.1109/RADAR54928.2023.10371020. 91. Machine Learning Based Automated Detection of Seafloor Gas Seeps B. Hicks, C. O. Ayna, V. Senyurek, S. Gupta, A. Skarke and A. C. Gurbuz, OCEANS 2023 - MTS/IEEE U.S. Gulf Coast, Biloxi, MS, USA, 2023, pp. 1-6, doi: 10.23919/OCEANS52994.2023.10337038. 90. Software Radio Testbed For 5g And L-Band Radiometer Coexistence Research Walaa Al-Qwider, Ahmed Manavi Alam, Md Mehedi Farhad, Mehmet Kurum, Ali C. Gurbuz, Vuk Marojevic IEEE International Geosciences and Remote Sensing Symposium (IGARSS’23), Pasadena, CA, 2023 89. SDR Based Agile Radiometer With Onboard RFI Processing On A Small UAS Md Mehedi Farhad, Sabyasachi Biswas, A. M. Alam, Ali C. Gurbuz, Mehmet Kurum IEEE International Geosciences and Remote Sensing Symposium (IGARSS’23), Pasadena, CA, 2023 88. High-Resolution Radio Frequency Interference Detection In Microwave Radiometry Using Deep Learning Ahmed Manavi Alam, Mehmet Kurum, Ali Gurbuz IEEE International Geosciences and Remote Sensing Symposium (IGARSS’23), Pasadena, CA, 2023 87. Fusing Sentinel-1 With Cygnss To Account For Vegetation Effects In Soil Moisture Retrievals Ege Bozdag, Volkan Senyurek, M.M. Nabi, Mehmet Kurum, Ali Gurbuz IEEE International Geosciences and Remote Sensing Symposium (IGARSS’23), Pasadena, CA, 2023 86. Complex SincNet for More Interpretable Radar Based Activity Recognition S. Biswas, C. O. Ayna, S. Z. Gurbuz and A. C. Gurbuz 2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6 85. Classification of Traffic Signaling Motion in Automotive Applications Using FMCW Radar S. Biswas, B. Bartlett, J. E. Ball and A. C. Gurbuz 2023 IEEE Radar Conference (RadarConf23), San Antonio, TX, USA, 2023, pp. 1-6 |
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2022
84. Convolutional Neural Network Based Antenna Beam Coefficient Generation for Planar Arrays
G. D. King, M. A. Towfiq, A. C. Gurbuz and B. A. Cetiner 2022 IEEE International Symposium on Antennas and Propagation Denver, CO, USA, 2022, pp. 445-446 83. Data-Driven Covariance Estimation John T. Rogers, J. E. Ball, A. C. Gurbuz 2022 IEEE International Symposium on Phased Array Systems and Technology, Boston, MA, October 2022 82. Robustness Analysis for Deep Learning-Based Image Reconstruction Models C. O. Ayna, A. C. Gurbuz 2022 56th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2022, pp. 1428-1432, Invited to special session 81. Design and Implementation of a Software Defined Radio-Based Radiometer Operating from a Small Unmanned Aircraft Systems Md Mehedi Farhad, Sabyasachi Biswas, Mohammad Abdus Shahid Rafi, Mehmet Kurum, Ali C Gurbuz 2022 IEEE Inter. Symposium on Antennas and Propagation, Denver, CO, pp. 17-18 80. Machine learning-based high resolution global and small scale soil moisture estimation using GNSS-R V. Senyurek, M. Farhad, F. lei, A. C. Gurbuz, M. Kurum, R. Moorhead SouthEastCon 2022, Mobile, AL, USA, 2022, pp. 434-435 79. Preliminary Snow Water Equivalent Retrieval of SnowEx20 SWESARR Data D. R. Boyd, A. M. Alam, M. Kurum, A. C. Gurbuz, B. Osmanoglu IEEE International Geosciences and Remote Sensing Symposium (IGARSS’22), Kuala Lumpur, Malaysia, 2022, pp. 3927-3930 78. A Ubiquitous Gnss-R Approach Using Spinning Smartphone Onboard A Small UAS M. Kurum, M. Farhad, J. Diao, A. C. Gurbuz IEEE International Geosciences and Remote Sensing Symposium (IGARSS’22), Kuala Lumpur, Malaysia, 2022, pp. 5208-5211 77. SMAP radiometer RFI prediction with deep learning using antenna counts Ahmed M. Alam, A. C. Gurbuz, M. Kurum IEEE International Geosciences and Remote Sensing Symposium (IGARSS’22), Kuala Lumpur, Malaysia, 2022, pp. 8016-8019 [ Best Student Paper Finalist] 76. Data Driven Joint Hyperspectral Band Selection and Image Classification R. Mdrafi and A. C. Gurbuz IEEE International Geosciences and Remote Sensing Symposium (IGARSS’22), Kuala Lumpur, Malaysia, 2022, pp. 1736-1739 75. A Deep Learning-Based Soil Moisture Estimation In Conus Region Using Cygnss Delay Doppler Maps M. M. Nabi, V. Senyurek, A. Gurbuz, M. Kurum IEEE International Geosciences and Remote Sensing Symposium (IGARSS’22), Kuala Lumpur, Malaysia, 2022, pp. 6177-6180 74. RF Micro-Doppler Classification with Multiple Spectrograms from Angular Subspace Projections E. Kurtoglu, A. C. Gurbuz, E. Malaia, S. Gurbuz 2022 IEEE Radar Conference (RadarConf22), New York City, NY, USA, 2022, pp. 1-6 73. Performance Comparison of Radar and Video for American Sign Language Recognition M. Rahman, E. Kurtoglu, M. Taskin, K. Esmer, Ali C. Gurbuz, E. Malaia, S. Gurbuz IEEE 2022 Radar Conference, New York City, NY, USA, 2022, pp. 1-6 72. Local Detection of OLTC Operation to Support Decentralized Control of Active End-Nodes Emin Ucer, Emre Kurtoglu, Mithat Kisacikoglu, Ali Gurbuz, Sevgi Gurbuz 2022 IEEE Power & Energy Society General Meeting (PESGM), Denver, CO, USA, 2022, pp. 1-5 |
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2021
71. Compressed Classification From Learned Measurements
R. Mdrafi and A. C. Gurbuz Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, October 2021, pp: 4038-4047 70. Data Driven Learning of Constrained Measurement Matrices for Signal Reconstruction R. Mdrafi and A. C. Gurbuz 2021 55th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2021, pp. 1597-1601. 69. Word-Level ASL Recognition and Trigger Sign Detection with RF Sensors MM. Rahman, E. Kurtoglu, R. Mdrafi, A. C. Gurbuz, E. Malaia, C. Crawford, D. Griffin, S. Gurbuz IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 2021, pp. 8233-8237. 68. Word-Level Sign Language Recognition Using Linguistic Adaptation of 77 GHz FMCW Radar Data M. Rahman, S. Z. Gurbuz, A. C. Gurbuz, E. A. Malaia; D. J. Griffin; C. Crawford IEEE Radar Conference, Atlanta, GA, May 2021. 67. Sequential Classification of Sign Language Gestures in the Context of Daily Living Using RF Sensing E. Kurtoglu, S. Z. Gurbuz, A. C. Gurbuz, E. A. Malaia; D. J. Griffin; C. Crawford IEEE Radar Conference, Atlanta, GA, May 2021. 66. Quasi-global GNSS-R soil moisture retrievals at high spatio-temporal resolution from CYGNSS and SMAP data F. Lei, V. Senyurek, M. Kurum, A. C. Gurbuz, D. Boyd, R. Moorhead IEEE International Geosciences and Remote Sensing Symposium (IGARSS’21), Brussels, 2021. 65. Spatial and temporal interpolation of CYGNSS soil moisture estimations V. Senyurek, A. C. Gurbuz, M. Kurum, F. Lei, D. Boyd, R. Moorhead IEEE International Geosciences and Remote Sensing Symposium (IGARSS’21), Brussels, 2021. 64. Investigation of Band selection techniques to Enable Classification of Hyperspectral Imagery at the edge S. Butler, S. R. Price, Ali C. Gurbuz, S. J. Price, J. R. Fairley SPIE Defense Commercial Sensing, Proceedings Volume 11736, Real-Time Image Processing and Deep Learning 2021; 117360L, 2021, Orlando, FL. 63. A UAS based RF testbed for water utilization in agroecosystems M. Kurum, Ali C. Gurbuz, S. Barnes, D. Boyd, M. Duck, M. Farhad, A. Flynt, N. Goyette, P. Peranich, M. Schneider, V. Senyurek SPIE Defense Commercial Sensing, Proceedings Volume 11747, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI; 117470J (2021), Orlando, FL. |
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2020
62. ASL Recognition Based on Kinematics Derived from a Multi-Frequency RF Sensor Network
S. Z. Gurbuz; A. C. Gurbuz; E. A. Malaia; D. J. Griffin; C. Crawford; E. Kurtoglu; M. M. Rahman; R. Aksu; R. Mdrafi 2020 IEEE SENSORS, Rotterdam, Netherlands, 2020, pp. 1-4. [Selected by Technical Program Committee as a Top Paper] 61. Extending free‐space mapping to unstructured, off‐road environments Eric D. Farmer, John E. Ball, Ali C. Gurbuz Proc. SPIE 11415, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2020, 1141509 (23 April 2020) 60. A Machine Learning Approach for Understanding Power Distribution System Congestion E. Ucer, M. Kisacikoglu, A. Gurbuz, S. Rahman and M. Yuksel 2020 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI, USA, 2020, pp. 1977-1983 59. A Linguistic Perspective on Radar Micro-Doppler Analysis of American Sign Language S. Z. Gurbuz, A. C. Gurbuz, E. A. Malaia, D. J. Griffin, C. Crawford, M. M. Rahman, R. Aksu, E. Kurtoglu, R. Mdrafi, A. Anbuselvam, T. Macks, E. Ozcelik 2020 IEEE International Radar Conference, Washington D.C. April 27 - May 1, 2020 58. GNSS Reflectometry from Smartphones: Testing performance of In-built antennas and GNSS chips M. Kurum, A. C. Gurbuz, and Mehedi Farhad IEEE International Geosciences and Remote Sensing Symposium (IGARSS’20),Waikoloa (Hawaii), Jul. 19–Jul. 24, 2020 57. Machine Learning based Retrieval of Soil Moisture at High Spatio-Temporal Scales using CYGNSS and SMAP Observations F. Lei, V. Senyurek, M. Kurum, A. C. Gurbuz, R. Moorhead and D. Boyd IEEE International Geosciences and Remote Sensing Symposium (IGARSS’20),Waikoloa (Hawaii), Jul. 19–Jul. 24, 2020 56. Preliminary Study of Cramer-Rao Lower Bound for Subsurface Soil Moisture Estimation using SoOp Reflectometry D. Boyd, M. Kurum and A. C. Gurbuz IEEE International Geosciences and Remote Sensing Symposium (IGARSS’20),Waikoloa (Hawaii), Jul. 19–Jul. 24, 2020 |
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2019
55. Off-Grid Aware Spatial Covariance Estimation in mmWave Communications
C. K. Anjinappa, A. C. Gurbuz, Y. Yapici, I. Guvenc Asilomar Conference on Signals Systems and Computers, Asilomar Grounds, CA, Nov 1-4 2019. 54. Learning to Sense and Reconstruct A Class of Signals R. H. MdRafi and A. C. Gurbuz 2019 IEEE Radar Conference (RadarConf), Boston, MA, USA, 2019, pp. 1-5. 53. Inversion Study of Simulated and Physical Soil Moisture Profiles Using Multifrequency SoOP-Sources D. R. Boyd, M. Kurum, J. L. Garrison, B. Nold, R. Mdrafi, O. Eroglu, A. C. Gurbuz Proceedings of the IEEE International Geosciences and Remote Sensing Symposium (IGARSS’19), Valencia, Spain, Jul. 28–Aug. 2, 2019. (invited). 52. Investigations Into CYGNSS-based Soil Moisture Retrieval Algorithms O. Eroglu, M. Kurum, D. R. Boyd, A. C. Gurbuz Proceedings of the IEEE International Geosciences and Remote Sensing Symposium (IGARSS’19), Valencia, Spain, Jul. 28–Aug. 2, 2019. 51. On the Feasibility of Environmental Monitoring via Interferometric Smartphone GNSS Reflectometry M. Kurum, A. C. Gurbuz, M. Scheider, C. Nelson, L. Orsini Proceedings of The Institute of Navigation (ION)’s Pacific PNT Conference, Honolulu, HI, April. 8–11, 2019. 50. Investigation of Root-Zone Soil Moisture Profile Sensitivity to Multiple Signal of Opportunity Sources D. R. Boyd, M. Kurum, O. Eroglu, A. C. Gurbuz, J. L. Garrison, B. Nold, J. Piepmeier, M. S. Vega, and R. Bindlish Proceedings ofThe USNC/URSI Radio Science Meeting, Boulder, CO (USA), Jan. 9–12, 2019. 49. Relating CYGNSS Observations to Soil Moisture Variations During The 2018 Hurricane Season O. Eroglu, D. R. Boyd, A. C. Gurbuz, and M. Kurum Proceedings of The USNC/URSI Radio Science Meeting, Boulder, CO (USA), Jan. 9–12, 2019. 48. Estimating the Number of Sources via Deep Learning J. Rogers, J. E. Ball and A. C. Gurbuz 2019 IEEE Radar Conference (RadarConf), Boston, MA, USA, 2019, pp. 1-5. 47. Data Driven Measurement Matrix Learning for Sparse Reconstruction R. H. MdRafi and A. C. Gurbuz 2019 IEEE Data Science Workshop (DSW), Minneapolis, MN, USA, 2019, pp. 253-257. |
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2018 - 2003
46. Learning EV Integration Impact on a Low Voltage Distribution Grid
E. Ucer, M. C. Kisacikoglu and A. C. Gurbuz 2018 IEEE Power & Energy Society General Meeting (PESGM), Portland, OR, 2018, pp. 1-5. 45. Multifunctional reconfigurable antennas for cognitive radars A. C. Gurbuz and B. Cetiner 2018 IEEE Radar Conference (RadarConf18), Oklahoma City, OK, 2018, pp. 1510-1515. 44. A CubeSat Train for Radar Sounding and Imaging of Antarctic Ice Sheet P. Gogineni, C.R. Simpson, J. yan, C. R. Oneill, R. Sood, S. Gurbuz, A.C. Gurbuz 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, 2018, pp. 4138-4141. 43. Sparse Channel Estimation in Millimeter-Wave Communications via Parameter Perturbed OMP A. C. Gurbuz, Y. Yapici and I. Guvenc 2018 IEEE International Conference on Communications Workshops (ICC Workshops), Kansas City, MO, 2018, pp. 1-6. 42. Adaptive measurement design for direction of arrival estimation and target tracking A. C. Gurbuz SPIE Conf. on Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, April 2018 41. Perturbation based sparse subspace clustering A. C. Gurbuz SPIE Conf. on Compressive Sensing VII: From Diverse Modalities to Big Data Analytics, April 2018 40. Cognitive radar utilizing multifunctional reconfigurable antennas A. C. Gurbuz, S. Z. Gurbuz, B. Cetiner SPIE Conference on Radar Sensor Technology XXII, April 2018 39. Real-time multiple velocity false target generation in digital radio frequency memory M. İspir, A. Orduyılmaz, M. Serin, A. Yıldırım and A. C. Gurbuz 2016 IEEE Radar Conference (RadarConf), Philadelphia, PA, 2016, pp. 1-6. 38. SAR image reconstruction with joint off-grid target and phase error corrections S. Camlica, A. C. Gurbuz and O. Arikan 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, 2015, pp. 4502-4505 37. Sparsity based robust Stretch Processing I. Ilhan, A. C. Gurbuz and O. Arikan 2015 IEEE International Conference on Digital Signal Processing (DSP), Singapore, 2015, pp. 95-99. 36. Analysis of sparsity based joint SAR image reconstruction and autofocus techniques S. Camlica, H. E. Guven, A. C. Gurbuz and O. Arikan 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), Pisa, 17-19 June 2015, pp.99-103 35. Real-time pulse compression radar waveform generation and digital matched filtering A. Orduyılmaz, G. Kara, M. Serin, A. Yıldırım, A. C. Gurbuz and M. Efe 2015 IEEE Radar Conference (RadarCon), Arlington, VA, 2015, pp. 0426-0431. 34. A recursive way for sparse reconstruction of parametric spaces O. Teke, A. C. Gurbuz and O. Arikan 48th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, 2014, pp. 637-641. 33. Sparse delay-Doppler image reconstruction under off-grid problem O. Teke, A. C. Gurbuz and O. Arikan IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), A Coruna, 2014, pp. 409-412. 32. Simulation of human micro-Doppler signatures with Kinect sensor B. Erol, C. Karabacak, S. Z. Gürbüz and A. C. Gurbuz 2014 IEEE Radar Conference, Cincinnati, OH, 2014, pp. 0863-0868. 31. Multi-Aspect Angle Classification of Human Radar Signatures C. Karabacak, S. Z. Gurbuz, M. B. Guldogan, A. C. Gurbuz SPIE Conference on Active and Passive Signatures IV, Vol. 8734, Article Number: UNSP 873408, Baltimore, MD, USA, 2013 30. Energy and lifetime analysis of compressed Wireless Sensor Network communication C. Karakus, A. Cafer Gurbuz and B. Tavli IEEE Sensors Applications Symposium (SAS), Galveston, TX, 2013, pp. 7-10. 29. Classification of human micro-Doppler in a radar network B. Tekeli, S. Z. Gürbüz, M. Yüksel, A. C. Gürbüz and M. B. Guldogan 2013 IEEE Radar Conference (RadarCon13), Ottawa, ON, 2013, pp. 1-6. 28. Off-grid sparse SAR image reconstruction by EMMP algorithm S. Ugur, O. Arıkan and A. C. Gurbuz 2013 IEEE Radar Conference (RadarCon13), Ottawa, ON, 2013, pp. 1-4. 27. Importance ranking of features for human micro-Doppler classification with a radar network S. Z. Gürbüz, B. Tekeli, M. Yüksel, C. Karabacak, A. C. Gürbüz and M. B. Guldogan 2013 16th International Conference on Information Fusion (FUSION), Istanbul, 2013, pp. 610-616. 26. Sparse Reconstruction Under Model Uncertainties O. Teke, A. C. Gurbuz, O. Arikan Signal Processing with Adaptive Sparse Structured Representations, EPFL, Lausanne, July 8-11, 2013. 25. Expectation Maximization Based Matching Pursuit A. C. Gurbuz; M. Pilanci, O. Arikan IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 25-30, 2012 24. Analysis Of Compressive Sensing Based Through The Wall Imaging M. Duman, A. C. Gurbuz IEEE Radar Conference (RADAR), Atlanta, GA May 07-11, 2012 23. Analysis of unknown velocity and target off the grid problems in compressive sensing based subsurface imaging M. A. C. Tuncer and A. C. Gurbuz 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, 2011, pp. 2880-2883. 22. Sparsity Enhanced Fast Subsurface Imaging with GPR A. C. Gurbuz XIII International Conference on Ground Penetrating Radar, Lecce , Italy, 2010 21. Location estimation using a broadband electromagnetic induction array A. C. Gurbuz, W. R. Scott, Jr., J. H. McClellan Proc. of the SPIE Detection and Sensing of Mines, Exp. Obj., and Obsc. Targets XIV, Vol. 7303, pp. 73030U-73030U-9, 2009 20. Shape Detection In Images Exploiting Sparsity A. C. Gurbuz 24th International Symposium on Computer and Information Sciences, Guzelyurt , KKTC, 14-16 Sept. 2009, pp. 70 – 75. 19. GPR Imaging Using Compressed Measurements A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr. IEEE International Symposium on Geoscience and Remote Sensing, (IGARSS) , vol. 2, pp. II-13 - II-16, July 2008, Boston USA 18. A Compressive Beamforming Method A. C. Gurbuz, J. H. McClellan and V. Cevher IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2617 – 2620, March 2008, Las Vegas, USA. 17. Compressive Sensing of Parameterized Shapes in Images A. C. Gurbuz, J. H. McClellan, J. Romberg and W. R. Scott IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1949 – 1952, March 2008, Las Vegas, USA. 16. Compressive Wireless Arrays for Bearing Estimation V. Cevher, A. C. Gurbuz, J. H. McClellan IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2497 – 2500, March 2008, Las Vegas, USA. 15. Compressive Sensing for GPR Imaging A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr. 41st Asilomar Conference on Signals, Systems and Computers, pp. 2223-2227, Nov. 2007, Pacific Grove, CA ,USA. 14. Feature Detection in Images by Adaptive Random Sampling A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr. IEEE Statistical Signal Processing Workshop, pp. 591 - 595, August 2007, Madison 13. Feature Detection in Higly Noisy Images using Random Sample Theory A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr. 15th International Conference on Digital Signal Processing, pp. 423- 426, July 1-4 2007 Cardiff, UK 12. Investigation of the detection of shallow tunnels using electromagnetic and seismic waves T. Counts, G. D. Larson, A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr. Proc. SPIE in Detection and Remediation Technologies for Mines and Minelike Targets XII , vol. 6553, pp. 65531G , 2007 11. Detecting Curved Underground Tunnels using Partial Radon Transforms A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. 1, pp(s):I-545-I-548, 15-20 April 2007, Honolulu, Hawai. 10. Vehicle Fingerprinting Using Drive-By Sounds V. Cevher, R. Chellappa, A. C. Gurbuz, F. Shah, and James H. McClellan 25th Army Science Conf., 2006, Orlando, FL 9. Combined Ground Penetrating and Seismic System for Detecting Tunnels W. R. Scott, Jr., T. Counts, G. D. Larson, A.C. Gurbuz, and J. H. McClellan IEEE Int’l Geoscience and Remote Sensing Symposium (IGARSS), pp. 1232 – 1235, Aug 2006, Denver, CO,USA. 8. Iterative Detection of Linear Objects in GPR and Seismic Images A. C. Gurbuz and J. H. McClellan 4th IEEE Workshop on Sensor Array and Multi-Channel Processing, pp. 118 - 121, July 2006, Waltham, MA, USA 7. Seismic Tunnel Imaging and Detection A. C. Gurbuz, J. H. McClellan, W. R. Scott, Jr., and G. Larson IEEE International Conference on Image Processing, pp. 3229 - 3232, October 8-11 2006, Atlanta, GA. 6. Application of Multi-Static Inversion Algorithms to Landmine Detection A. C. Gurbuz, T. Counts, K. Kim Proc. of the SPIE, Detection and Remediation Technologies for Mines and Minelike Targets XI, vol. 6217, pp. 621724-1, 621724-10 , 2006, Orlando FL, USA. 5. Predicting GPR Target Locations Using Time Delay Differences A. C. Gurbuz, J. H. McClellan and W. R. Scott Jr. Proc. of the SPIE, Detection and Remediation Technologies for Mines and Minelike Targets XI, vol. 6217, pp: 621731-1, 621731-9, Orlando FL, USA, 2006 4. Subsurface Target Imaging Using a Multi-Resolution 3D Quadtree Algorithm A. C. Gurbuz, J. H McClellan , W. R Scott Proc. of the SPIE vol. 5794, pp. 1172-1181, 2005 3. A Multi-Static Ground-Penetrating Radar with an Array of Resistively Loaded Vee Dipole Antennas for Landmine Detection K. Kim, A. C. Gurbuz, W. R Scott, J. H McClellan Proc. Of SPIE, vol. 5794, pp. 495–506, June 2005 2. Imaging of Subsurface Targets Using a 3D Quadtree Algorithm A. C. Gurbuz, J. H. McClellan, and W. R. Scott, Jr. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. 4, pp. iv/1105 - iv/1108, 18-23 March, 2005, USA. 1. Combined Seismic, Radar, and Induction Sensor for Landmine Detection W. R. Scott, Jr., K. Kim, G. D. Larson, A. C. Gurbuz, and J. H. McClellan Proc. of the Int’l IEEE Geoscience and Remote Sensing Sym., Vol.3, pp(s): 1613 - 1616 , 2004. |
