Hidden
Ground-Penetrating Radar (GPR) — Hidden Tier
(3 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| soil_permittivity_error | 8.16 – 11.76 | - |
| antenna_height | -0.007 – 0.023 | m |
| time_zero_offset | -0.07 – 0.23 | ns |
| velocity_model_error | 0.0958 – 0.1138 | m/ns |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | RTM + gradient | 0.525 | 21.1 | 0.65 | 0.77 | ✓ Certified | Baysal et al., Geophysics 1983 |
| 2 | HyperDet + gradient | 0.460 | 18.15 | 0.507 | 0.88 | ✓ Certified | GPR detection transformer, 2023 |
| 3 | Kirchhoff Migration + gradient | 0.457 | 18.49 | 0.524 | 0.81 | ✓ Certified | Stolt, Geophysics 1978 |
| 4 | GPR-RCNN + gradient | 0.384 | 15.85 | 0.394 | 0.84 | ✓ Certified | Pham & Lefevre, JECE 2020 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%