Hidden

SAR — 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
motion_error -1.4 – 4.6 cm
phase_error -0.21 – 0.69 rad
range_cell_migration -0.35 – 1.15 cells

Hidden Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 DiffusionSAR + gradient 0.676 27.68 0.874 0.75 ✓ Certified Wei et al., NeurIPS 2024
2 SARFormer + gradient 0.626 24.88 0.798 0.79 ✓ Certified Li et al., CVPR 2024
3 SAR-CAM + gradient 0.624 24.86 0.798 0.78 ✓ Certified Cross-attention SAR, 2024
4 Lee Filter + gradient 0.607 24.07 0.771 0.79 ✓ Certified Lee, IEEE TGRS 1980
5 Range-Doppler + gradient 0.600 23.52 0.751 0.82 ✓ Certified SAR signal processing baseline
6 ScoreSAR + gradient 0.582 23.23 0.74 0.77 ✓ Certified Johnson et al., ECCV 2025
7 PanSharpener++ + gradient 0.551 21.32 0.66 0.87 ✓ Certified Zhang et al., ICCV 2024
8 SAR-DRN + gradient 0.529 20.68 0.631 0.85 ✓ Certified Zhang et al., RS 2018
9 SAR-BM3D + gradient 0.516 20.28 0.612 0.84 ✓ Certified Parrilli et al., IEEE TGRS 2012
10 SAR-ResNet + gradient 0.508 20.7 0.632 0.74 ✓ Certified Chen et al., IEEE TGRS 2022
11 SARDenoiserViT + gradient 0.488 19.33 0.566 0.84 ✓ Certified Wang et al., ICCV 2024
12 Chirp Scaling + gradient 0.473 19.44 0.572 0.75 ✓ Certified Raney et al., IEEE TGRS 1994
13 Matched Filter + gradient 0.447 18.38 0.519 0.78 ✓ Certified Standard SAR focusing

Dataset

Scenes: 3

Scoring Formula

0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)

PSNR: 40% SSIM: 40% Consistency: 20%
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