Jaufer, R.M.; Ihamouten, A.; Goyat, Y.; Todkar, S.S.; Guilbert, D.; Assaf, A.; Dérobert, X.
A Preliminary Numerical Study to Compare the Physical Method and Machine Learning Methods Applied to GPR Data for Underground Utility Network Characterization. Remote Sens. 2022, 14, 1047.
https://doi.org/10.3390/rs14041047
AMA Style
Jaufer RM, Ihamouten A, Goyat Y, Todkar SS, Guilbert D, Assaf A, Dérobert X.
A Preliminary Numerical Study to Compare the Physical Method and Machine Learning Methods Applied to GPR Data for Underground Utility Network Characterization. Remote Sensing. 2022; 14(4):1047.
https://doi.org/10.3390/rs14041047
Chicago/Turabian Style
Jaufer, Rakeeb Mohamed, Amine Ihamouten, Yann Goyat, Shreedhar Savant Todkar, David Guilbert, Ali Assaf, and Xavier Dérobert.
2022. "A Preliminary Numerical Study to Compare the Physical Method and Machine Learning Methods Applied to GPR Data for Underground Utility Network Characterization" Remote Sensing 14, no. 4: 1047.
https://doi.org/10.3390/rs14041047
APA Style
Jaufer, R. M., Ihamouten, A., Goyat, Y., Todkar, S. S., Guilbert, D., Assaf, A., & Dérobert, X.
(2022). A Preliminary Numerical Study to Compare the Physical Method and Machine Learning Methods Applied to GPR Data for Underground Utility Network Characterization. Remote Sensing, 14(4), 1047.
https://doi.org/10.3390/rs14041047