Public
Sonar — 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 |
|---|---|---|---|
| sound_speed_profile | -5.0 – 10.0 | 2.5 | m/s |
| multipath | -2.0 – 4.0 | 1.0 | |
| array_calibration | -3.0 – 6.0 | 1.5 | % |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
1.16 dB
SSIM 0.0122
Scenario II (Mismatch)
1.16 dB
SSIM 0.0118
Scenario III (Oracle)
4.17 dB
SSIM 0.5287
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 1.17 | 0.0105 | 1.17 | 0.0100 | 4.11 | 0.5182 |
| scene_01 | 1.02 | 0.0148 | 1.01 | 0.0145 | 4.12 | 0.5434 |
| scene_02 | 1.28 | 0.0131 | 1.28 | 0.0125 | 4.35 | 0.5346 |
| scene_03 | 1.17 | 0.0105 | 1.17 | 0.0101 | 4.11 | 0.5184 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | AcousticFormer + gradient | 0.780 | 31.9 | 0.942 | 0.92 | ✓ Certified | Acoustic imaging transformer, 2024 |
| 2 | SonarNet + gradient | 0.696 | 26.62 | 0.849 | 0.95 | ✓ Certified | Underwater imaging CNN, 2022 |
| 3 | MVDR/Capon + gradient | 0.563 | 21.82 | 0.682 | 0.86 | ✓ Certified | Capon, Proc. IEEE 1969 |
| 4 | DAS + gradient | 0.524 | 20.43 | 0.619 | 0.86 | ✓ Certified | Van Trees, Array Processing, 2002 |
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%