Pith Number

pith:BU5OGIK4

pith:2026:BU5OGIK4P4SAU46ZJB4ZC6G23T

not attested not anchored not stored refs resolved

Synthetic Aperture Radar Image Change Detection Based on Global Dynamic Context-Aware Network

Baogui Huan, Chuanzheng Gong, Dezhong Chen, Feng Gao, Junyu Dong, Qian Du

GDNet uses global dynamic convolution to better detect changes in SAR images by incorporating long-range context.

arxiv:2605.16764 v1 · 2026-05-16 · cs.CV · eess.IV

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3 Author claim open · sign in to claim

4 Citations 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

Extensive experiments on three SAR datasets demonstrate the superiority of the proposed GDNet compared to other state-of-the-art methods.

C2weakest assumption

That the global semantic information extracted from input features can be used to reliably modulate convolution kernel weights in a way that improves detection of subtle or large-scale changes without introducing instability or requiring dataset-specific tuning.

C3one line summary

GDNet introduces global dynamic convolution and two-stage Mixup to outperform prior methods on SAR image change detection across three datasets.

References

59 extracted · 59 resolved · 0 Pith anchors

[1] Manet: An efficient multidimensional attention-aggregated network for remote sensing im- age change detection, 2023

[2] Rethinking semantic change detection from a semantic alignment perspective, 2025

[3] Continuous monitoring of forest change dynamics with satellite time series, 2022

[4] Graph-based block-level urban change detection using Sentinel-2 time series, 2022

[5] Towards cross-disaster building damage detection with graph convolutional networks, 2022

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:03:20.672908Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0d3ae3215c7f240a73d948799178dadce061626e512aaefe6243aeea10737cd9

Aliases

arxiv: 2605.16764 · arxiv_version: 2605.16764v1 · doi: 10.48550/arxiv.2605.16764 · pith_short_12: BU5OGIK4P4SA · pith_short_16: BU5OGIK4P4SAU46Z · pith_short_8: BU5OGIK4

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/BU5OGIK4P4SAU46ZJB4ZC6G23T \
  | 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: 0d3ae3215c7f240a73d948799178dadce061626e512aaefe6243aeea10737cd9

Canonical record JSON

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  "metadata": {
    "abstract_canon_sha256": "899f8b37e11ec5133a86c104e80b69207b1c377a5b84d80e199b7234073aab26",
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-16T02:33:10Z",
    "title_canon_sha256": "d18b58ab4b8e38dc651624736c98fc7d1e52ef85d60cf8f82b8381d6cb78ff19"
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  "source": {
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    "kind": "arxiv",
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