pith:ANTH6KUT
Sequential Feature Selection for Efficient Landslide Segmentation from Multi-Spectral Data
Sequential forward floating selection finds an 8-channel subset that matches or exceeds full 30-channel accuracy for landslide segmentation.
arxiv:2605.09746 v2 · 2026-05-10 · cs.LG · cs.AI
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Record completeness
Claims
Beyond identifying a compact 8-channel subset that matches or exceeds the segmentation F1 of configurations using up to 30 channels, we use the selection process itself to interrogate which spectral and topographic features landslide models genuinely rely on, and what this reveals about the physical cues driving their predictions.
That the lightweight U-Net++ proxy model used during SFFS iterations accurately captures interaction effects and performance trends of the final full-scale segmentation model, and that single-band drop tests miss interactions while SFFS does not.
Sequential Forward Floating Selection with a U-Net++ proxy identifies an 8-channel subset from multi-spectral and terrain data that matches or exceeds F1 scores of full 30-channel configurations for landslide segmentation.
Receipt and verification
| First computed | 2026-06-23T01:12:08.113468Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
03667f2a93c4dda4fdd542f61518ba30394b5b39a1e5765a18a234673d029dfe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ANTH6KUTYTO2J7OVIL3BKGF2GA \
| 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: 03667f2a93c4dda4fdd542f61518ba30394b5b39a1e5765a18a234673d029dfe
Canonical record JSON
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