Study on rapid inversion of soil water content from ground-penetrating radar data based on deep learning

HIGHLIGHTS

• who: Zhilian Li and colleagues from the College of Geo-Exploration Science and Technology, Jilin University, Ximinzhu Street, Changchun, China have published the research: Study on Rapid Inversion of Soil Water Content from Ground-Penetrating Radar Data Based on Deep Learning, in the Journal: (JOURNAL)
• what: The authors propose a neural network framework GPRSW based on deep learning of GPR GPRSW is an end-to-end network that directly inverts volumetric soil water content (VSWC) through single-channel GPR Synthetic experiments show that GPRSW accurately identifies different VSWC boundaries in the model in time depth . . .
  

   

  

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