首页|Investigators from Shandong University Release New Data on Networks (Semisupervised Deep Neural Network-based Cross-frequency Ground-penetrating Radar Data Inversion)
Investigators from Shandong University Release New Data on Networks (Semisupervised Deep Neural Network-based Cross-frequency Ground-penetrating Radar Data Inversion)
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By a News Reporter-Staff News Editor at Network Daily News - A new studyon Networks is now available. According to news reporting originating from Jinan, People’s Republic ofChina, by NewsRx correspondents, research stated, “Ground-penetrating radar (GPR) with different centerfrequencies can detect defects at different depths with a range of resolutions enabling it to be used forsubsurface defect inspection. However, the existing deep learning methods cannot accurately invert thepermittivity from GPR data of different frequencies, due to the limited number of labeled GPR images forevery center frequency.”
JinanPeople’s Republic of ChinaAsiaNetworksNeural NetworksShandong University
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