J.J. Li

ORCID: 0009-0000-8330-3135
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About
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Research Areas
  • Metallic Glasses and Amorphous Alloys
  • Underwater Acoustics Research
  • Glass properties and applications
  • Tree-ring climate responses
  • Geophysical Methods and Applications
  • Electromagnetic wave absorption materials
  • Microwave Imaging and Scattering Analysis
  • Material Dynamics and Properties
  • Seismic Imaging and Inversion Techniques
  • Theoretical and Computational Physics
  • Nanoporous metals and alloys

Taiyuan University of Technology
2016-2024

University of Illinois Urbana-Champaign
2019

10.1016/j.jallcom.2019.152941 article EN Journal of Alloys and Compounds 2019-11-07

Ground-penetrating radar (GPR) is an effective geophysical electromagnetic method for underground target detection. However, the response usually overwhelmed by strong clutter, thus damaging detection performance. To account nonparallel case of antennas and ground surface, a novel GPR clutter-removal based on weighted nuclear norm minimization (WNNM) proposed, which decomposes B-scan image into low-rank clutter matrix sparse using non-convex assigning different weights to singular values....

10.3390/s23115078 article EN cc-by Sensors 2023-05-25

10.1016/j.jallcom.2020.158107 article EN Journal of Alloys and Compounds 2020-11-26

Traditional single-polarimetric ground penetrating radar (GPR) has been widely used for the detection and classification of cavities, pipes, cables, other subsurface objects. However, as these objects show similar hyperbolic patterns in B-scan images, their data interpretation remains a challenge. In this letter, we propose an underground target method based on full-polarimetric GPR multi-branch deep convolutional neural network (CNN) with channel attention modules (CAMs). Here, input is...

10.1109/lgrs.2024.3400275 article EN IEEE Geoscience and Remote Sensing Letters 2024-01-01
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