Hidden
Ocean Color Remote Sensing — 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 |
|---|---|---|
| atmospheric_correction_error | -2.1 – 6.9 | - |
| sun_glint_contamination | -2.8 – 9.2 | - |
| vicarious_calibration_offset | -0.42 – 1.38 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | AquaFormer + gradient | 0.673 | 26.23 | 0.838 | 0.88 | ✓ Certified | Ocean color retrieval transformer, 2024 |
| 2 | MUMM + gradient | 0.578 | 22.81 | 0.724 | 0.8 | ✓ Certified | Ruddick et al., RSE 2000 |
| 3 | OC-Net + gradient | 0.556 | 22.44 | 0.708 | 0.74 | ✓ Certified | Pahlevan et al., RSE 2022 |
| 4 | Gordon AC + gradient | 0.411 | 16.84 | 0.442 | 0.83 | ✓ Certified | Gordon & Wang, Appl. Opt. 1994 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%