Public
Ground-Penetrating Radar (GPR) — Public Tier
(3 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| soil_permittivity_error | 7.8 – 11.4 | 9.6 | - |
| antenna_height | -0.01 – 0.02 | 0.005 | m |
| time_zero_offset | -0.1 – 0.2 | 0.05 | ns |
| velocity_model_error | 0.094 – 0.112 | 0.103 | m/ns |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
6.10 dB
SSIM 0.0513
Scenario II (Mismatch)
6.10 dB
SSIM 0.0506
Scenario III (Oracle)
9.04 dB
SSIM 0.5406
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 6.10 | 0.0509 | 6.10 | 0.0505 | 9.04 | 0.5407 |
| scene_01 | 6.10 | 0.0513 | 6.10 | 0.0507 | 9.04 | 0.5407 |
| scene_02 | 6.10 | 0.0517 | 6.10 | 0.0507 | 9.04 | 0.5406 |
| scene_03 | 6.10 | 0.0515 | 6.10 | 0.0506 | 9.04 | 0.5406 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | HyperDet + gradient | 0.729 | 28.95 | 0.899 | 0.9 | ✓ Certified | GPR detection transformer, 2023 |
| 2 | GPR-RCNN + gradient | 0.695 | 27.01 | 0.858 | 0.91 | ✓ Certified | Pham & Lefevre, JECE 2020 |
| 3 | RTM + gradient | 0.608 | 23.35 | 0.745 | 0.88 | ✓ Certified | Baysal et al., Geophysics 1983 |
| 4 | Kirchhoff Migration + gradient | 0.494 | 19.06 | 0.553 | 0.91 | ✓ Certified | Stolt, Geophysics 1978 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%