Dev
Full-Waveform Inversion (FWI) — Dev Tier
(5 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| starting_velocity_model_error | -3.6 – 5.4 | - |
| source_wavelet_error | -2.4 – 3.6 | - |
| anelastic_attenuation_(q) | -120.0 – 180.0 | - |
| source_location_error | -24.0 – 36.0 | m |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | VelocityGAN + gradient | 0.664 | 26.37 | 0.842 | 0.82 | ✓ Certified | Zhang & Lin, JGR 2020 |
| 2 | TV-Reg FWI + gradient | 0.631 | 24.76 | 0.794 | 0.83 | ✓ Certified | Esser et al., Geophysics 2018 |
| 3 | InversionNet + gradient | 0.602 | 23.24 | 0.74 | 0.87 | ✓ Certified | Wu & Lin, JGR 2019 |
| 4 | L-BFGS FWI + gradient | 0.503 | 19.58 | 0.578 | 0.88 | ✓ Certified | Virieux & Operto, Geophysics 2009 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%