pith:PEC4WROT
Beyond Visual Fidelity: Benchmarking Super-Resolution Models for Large-Scale Remote Sensing Imagery via Downstream Task Integration
Super-resolution models picked by PSNR or SSIM often deliver worse results on actual remote sensing tasks than lower-scoring alternatives.
arxiv:2605.00310 v2 · 2026-05-01 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PEC4WROTOX7P3I6YDWQJVPRXC4}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
The results show that improvements in traditional SR metrics often do not correlate with gains in task performance, and the correlations can be negative, indicating that these metrics provide limited guidance for selecting superior models for downstream tasks.
That the chosen downstream task models, the five tasks per SR scenario, and the quality-controlled image pairs from 36,000 locations accurately represent the utility of SR outputs in real-world Earth monitoring applications.
GeoSR-Bench shows that gains in traditional super-resolution metrics like PSNR and SSIM frequently do not correlate with, and can negatively correlate with, performance on downstream remote sensing tasks.
Receipt and verification
| First computed | 2026-06-02T02:04:18.418958Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7905cb45d375fefda3d81da09abe37170e533beeafcd62f7c9f01309f86f7fa2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PEC4WROTOX7P3I6YDWQJVPRXC4 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7905cb45d375fefda3d81da09abe37170e533beeafcd62f7c9f01309f86f7fa2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dd3a9525b8233d2b06fcdfe2c511ba15294312ce05e4f4345ba90f6436a83a58",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-01T00:44:46Z",
"title_canon_sha256": "e42f488354d3c66d7ba637ae8c794da0a8eee1feee8e890e247c1075e2b1c9ee"
},
"schema_version": "1.0",
"source": {
"id": "2605.00310",
"kind": "arxiv",
"version": 2
}
}