Introduction
Related work
Proposed method
Overview
MSRD network structure for seismic Denoising
Multi-scale residual dense (MSRD) block
Transform-domain analysis for seismic data
Experimental results
Seismic datasets
Implementation details
Comparison with traditional and leading edge methods
Noisy data (dB) | Traditional methods | DL based methods | ||||
---|---|---|---|---|---|---|
Wavelet | Curvelet | VDSR | MSRN | RDN | Ours (SeisDeNet) | |
78.1385 | 87.2459 | 90.3576 | 93.1642 | 94.9961 | 95.0348 | 96.9472 |
73.6857 | 81.9464 | 86.6774 | 89.9346 | 92.6356 | 92.6251 | 94.0385 |
68.1319 | 76.3357 | 83.1581 | 86.0241 | 89.9125 | 89.8995 | 91.6652 |
64.6180 | 71.4021 | 74.5958 | 77.9656 | 82.9468 | 82.8572 | 84.1626 |
Average | 79.2325 | 83.6972 | 86.7721 | 90.1228 | 90.1042 | 91.7034 |
Noise level | Traditional methods | DL based methods | ||||
---|---|---|---|---|---|---|
Wavelet | Curvelet | VDSR | MSRN | RDN | Ours (SeisDeNet) | |
0.05 | 91.24 | 92.35 | 94.83 | 95.96 | 95.81 | 97.71 |
0.10 | 83.93 | 85.67 | 87.95 | 88.85 | 88.46 | 91.25 |
0.20 | 77.35 | 78.25 | 82.63 | 83.84 | 83.59 | 86.59 |
0.30 | 72.40 | 72.61 | 75.69 | 77.91 | 77.63 | 82.78 |
Average | 81.23 | 82.22 | 85.28 | 86.64 | 86.43 | 89.58 |