Full-Waveform Inversion of Two-Parameter Ground-Penetrating Radar Based on Quadratic Wasserstein Distance
Full-waveform inversion (FWI) is one of the most promising techniques in current ground-penetrating radar (GPR) inversion methods. The least-squares method is usually used, minimizing the mismatch between the observed signal and the simulated signal. However, the cycle-skipping problem has become an...
Saved in:
| Main Authors: | Kai Lu, Yibo Wang, Heting Han, Shichao Zhong, Yikang Zheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/22/4146 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Empirical Study of Self-Supervised Learning with Wasserstein Distance
by: Makoto Yamada, et al.
Published: (2024-10-01) -
Gromov - Hausdorff Convergence and Topological Stability for Actions on Wasserstein Hyperspaces
by: M. A. Morawo, et al.
Published: (2024-11-01) -
Low‐Frequency Reconstruction for Full Waveform Inversion by Unsupervised Learning
by: Ningcheng Cui, et al.
Published: (2024-11-01) -
Wasserstein Non-Negative Matrix Factorization for Multi-Layered Graphs and its Application to Mobility Data
by: Hirotaka Kaji, et al.
Published: (2025-01-01) -
WUS324: Multiscale Full Waveform Inversion Approaching Convergence Improves Waveform Fits While Imaging Seismic Structure of the Western United States
by: A. J. Rodgers, et al.
Published: (2024-10-01)