HIGHLIGHTS
- who: Reyhan Yurt from the DepartmentYalova University have published the article: Buried object characterization by data-driven surrogates and regression-enabled hyperbolic signature extraction, in the Journal: Scientific Reports Scientific Reports
- what: In this work, the data used for object identification is obtained from the computational model representing the ground penetrating radar (GPR) together with the associated environment (a soil section containing the object buried therein). These are the main reasons for using datadriven surrogate modeling approaches in the field of GPR characterization/detection systems.
- how: The hyperbolic signature is the merged form . . .
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