蒋鹏
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GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines
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Affiliation of Author(s): : 控制科学与工程学院

Title of Paper: : GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines

Journal: : IEEE Transactions on Geoscience and Remote Sensing

First Author: : 王静

Document Code: : 34478BFE861B467EBEE8E61FBE8A4FFF

Volume: : 60

Number of Words: : 10

Translation or Not: : no

Date of Publication: : 2021-09-20

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Associate Professor

Gender : Male

Status : Employed

School/Department : 齐鲁交通学院

Date of Employment : 2018-09-17

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