MO-A5.1P.7

Integrating Statistical Methods and Machine Learning Classifiers for Accurate Landmine Detection Using Ground Penetrating Radar A-scan Signals

Alejandro Rangel, Fabian Ruiz, Cesar Pedraza, universidad Nacional de Colombia, Colombia; Felix Vega, Luciano Prado, Mae Mansoori, Sultan Gazal, Asilah Almesmari, Oginne Lapuz, Chaouki Kasmi, Technology Innovation Institute, United Arab Emirates
Session:
Remote sensing - II Oral
Track:
AP-S: Propagation and Scattering
Location:
Spadolini: 1-06
Session Time:
Mon, 15 Jul, 13:40 - 17:20
Presentation Time:
Mon, 15 Jul, 16:00 - 16:20
Session Co-Chairs:
Felix Vega, Technology Innovation Institute and Etienne Dedic, LAAS-CNRS
Presentation
Discussion
Session MO-A5.1P
MO-A5.1P.2: Contactless Sensing for Recognizing Common Signs in ASL and BSL
Aisha Fatima, Hira Hameed, Muhammad Imran, Qammer H. Abbasi H. Abbasi, Hasan Abbas, University of Glasgow, United Kingdom
MO-A5.1P.3: Comparison of OFDM and LFM Waveform Schemes for Ranging: A Correlation Perspective
Mehmet Yazgan, University of South Florida, United States; Huseyin Arslan, Istanbul Medipol University, Turkey; Stavros Vakalis, University of South Florida, United States
MO-A5.1P.4: Moisture Sensing in Cutaneous Tissues Using Terahertz and Millimeter-Wave Systems
Linyu Sun, Xipei Liao, Georgia Institute of Technology, United States; Nikhil Nataraja, Naveed Abbassi, University of Southern California, United States; Seun Sangodoyin, Georgia Institute of Technology, United States
MO-A5.1P.5: BSLR: Bridging Communication Gaps with Wi-Fi Enabled British Sign Language Recognition
Hira Hameed, Prisila Alex Ishabakaki, Muhammad Farooq, Aisha Fatima, Kamran Arshad, Khaled Assaleh, Muhammad Imran, Qammer H. Abbasi, University of Glasgow, United Kingdom
MO-A5.1P.6: Radar Tracking of Small Moving Targets from an Hybrid Detection Algorithm using MUSIC and FFT
Etienne Dedic, Dominique Henry, LAAS-CNRS, France; Mathieu Lihoreau, CRCA-CBI, CNRS, France; Hervé Aubert, LAAS-CNRS, France
MO-A5.1P.7: Integrating Statistical Methods and Machine Learning Classifiers for Accurate Landmine Detection Using Ground Penetrating Radar A-scan Signals
Alejandro Rangel, Fabian Ruiz, Cesar Pedraza, universidad Nacional de Colombia, Colombia; Felix Vega, Luciano Prado, Mae Mansoori, Sultan Gazal, Asilah Almesmari, Oginne Lapuz, Chaouki Kasmi, Technology Innovation Institute, United Arab Emirates
MO-A5.1P.8: A Bistatic Measurement Scheme for Revealing Signatures of Tree Defects in Radar B-scans
Kaixuan Cheng, Yee Hui Lee, Jiwei Qian, Bui Q. Huy, Nanyang Technological University, Singapore; Daryl Lee, Mohamed Lokman Mohd Yusof, National Parks Singapore, Singapore; Abdulkadir C. Yucel, Nanyang Technological University, Singapore
MO-A5.1P.9: Analysis of the Impact of Shipborne HFSWR Platform Motion on Doppler Spectrum
Jianqiang Guo, Hui Zhang, Inner Mongolia University, China; Weimin Huang, Memorial University, Canada
Resources
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