Pith Number

pith:SPX5H4QL

pith:2026:SPX5H4QLXUSUY2BNDCL7VBRGKR

not attested not anchored not stored refs resolved

HADAR-Based Thermal Infrared Hyperspectral Image Restoration

Bingxuan Song, Cheng Dai, Fanglin Bao, Jiale Lin, Jiashuo Chen, Xin Yuan, Yifei Chen

A physics-driven model decomposes thermal infrared hyperspectral images into temperature, emissivity, and texture triplets to restore them consistently across denoising, inpainting, calibration, and super-resolution tasks.

arxiv:2605.13664 v1 · 2026-05-13 · cs.CV · physics.optics

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\usepackage{pith}
\pithnumber{SPX5H4QLXUSUY2BNDCL7VBRGKR}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

HAIR consistently outperforms state-of-the-art methods across denoising, inpainting, spectral calibration, and spectral super-resolution, establishing a benchmark in objective accuracy and visual quality.

C2weakest assumption

The HADAR rendering equation and atmospheric RTE together with the TeX triplet decomposition are assumed to fully capture the dominant sensor degradations and scene physics in ground-based TIR-HSI without significant unmodeled effects.

C3one line summary

HAIR restores TIR hyperspectral images via a TeX physical model from HADAR and RTE, outperforming prior methods in denoising, inpainting, calibration, and super-resolution.

References

76 extracted · 76 resolved · 0 Pith anchors

[1] Heat-assisted detection and ranging, 2023

[3] Why thermal images are blurry, 2024

[4] Absorption-based, passive range imaging from hyperspectral thermal measurements, 2025

[5] Affine transform representation for reducing calibration cost on absorption-based lwir depth sensing, 2024

[6] Thermal voyager: A comparative study of rgb and thermal cameras for night-time autonomous navigation, 2024

Receipt and verification

First computed	2026-05-18T02:44:17.275445Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

93efd3f20bbd254c682d1897fa8626545d338adc469a7f0eee8f8043d9868f84

Aliases

arxiv: 2605.13664 · arxiv_version: 2605.13664v1 · doi: 10.48550/arxiv.2605.13664 · pith_short_12: SPX5H4QLXUSU · pith_short_16: SPX5H4QLXUSUY2BN · pith_short_8: SPX5H4QL

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SPX5H4QLXUSUY2BNDCL7VBRGKR \
  | 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: 93efd3f20bbd254c682d1897fa8626545d338adc469a7f0eee8f8043d9868f84

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3b16be88aafb78e2332c7c01364e1a6e4e13488f7a695d629518f7ce570d30c4",
    "cross_cats_sorted": [
      "physics.optics"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T15:20:30Z",
    "title_canon_sha256": "53cd88e5302aba2a727e933e881010e2f79fb4179fb77ce11a9a0bb84c7ad458"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13664",
    "kind": "arxiv",
    "version": 1
  }
}