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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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Institution: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
Release Time:2022-05-22

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