Dev
Passive Microwave Radiometry — Dev Tier
(3 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 |
|---|---|---|
| antenna_beam_width_error | -0.12 – 0.18 | deg |
| receiver_gain_drift | 0.988 – 1.018 | - |
| brightness_temperature_offset | -0.48 – 0.72 | K |
| cross_polarization_leakage | -0.0048 – 0.0072 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | MWR-Former + gradient | 0.673 | 26.61 | 0.848 | 0.84 | ✓ Certified | Microwave radiometry transformer, 2024 |
| 2 | RadioNet + gradient | 0.591 | 22.79 | 0.723 | 0.87 | ✓ Certified | Passive microwave CNN, 2022 |
| 3 | Tikhonov-SMOS + gradient | 0.509 | 19.7 | 0.584 | 0.89 | ✓ Certified | Anterrieu, IEEE TGRS 2004 |
| 4 | Backus-Gilbert + gradient | 0.495 | 19.42 | 0.571 | 0.86 | ✓ Certified | Backus & Gilbert, Geophys. J. 1968 |
Visible Data Fields
y
H_ideal
spec_ranges
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%