中国矿业大学主页平台系统 limenggang--Home-- CSAInvNet: A Multinetwork Collaborative Deep Learning Framework for GPR-Based Joint 3-D Inversion Imaging of Coal Seam Anomalies

Home > Scientific Research > Paper Publications

CSAInvNet: A Multinetwork Collaborative Deep Learning Framework for GPR-Based Joint 3-D Inversion Imaging of Coal Seam Anomalies

Release time:2026-01-17 Hits:

DOI number:10.1109/TGRS.2025.3596716
Affiliation of Author(s):机电工程学院
Funded by:国家自然科学基金项目
First Author:Wu, Kaidi
Co-author:limenggang,Ren, Wanglong,Chen, Yiheng,Hu, Eryi,Chaoquan Tang,zhougongbo
Indexed by:Journal paper
Volume:卷: 63
ISSN No.:0196-2892
Translation or Not:no
Date of Publication:2025-01-01

Pre One:CSInvNet: A Multi-Network Collaborative Deep Learning Framework for Joint 3D Inversion Imaging Representation of Coal Seam Anomalies

Next One:Adaptive High-Resolution Dynamic Scanning System and Method for Deformation Monitoring of Underground Infrastructure

Home

Scientific Research

Teaching Research

Awards and Honours

Enrollment Information

Student Information

My Album

Blog

Recommended MA Supervisor

Personal Information

Other Contact Information

CSAInvNet: A Multinetwork Collaborative Deep Learning Framework for GPR-Based Joint 3-D Inversion Imaging of Coal Seam Anomalies