add clarification to research methodology by including a step for solution comparison and user consultation

2026-04-22 09:16:37 +00:00 · 2026-03-17 18:43:57 +02:00
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+# Source Registry
+
+## Source #1
+- **Title**: LiteSAM GitHub Repository
+- **Link**: https://github.com/boyagesmile/LiteSAM
+- **Tier**: L1
+- **Publication Date**: 2025-10-01
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: 4 commits total, no releases, no license
+- **Target Audience**: Computer vision researchers, satellite-aerial matching
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: Official LiteSAM code repo. 5 stars, 0 forks, no issues. Weights hosted on Google Drive (mloftr.ckpt). Built on EfficientLoFTR. Very low community adoption.
+- **Related Sub-question**: SQ-2, SQ-3
+
+## Source #2
+- **Title**: LiteSAM Paper (Remote Sensing, MDPI)
+- **Link**: https://www.mdpi.com/2072-4292/17/19/3349
+- **Tier**: L1
+- **Publication Date**: 2025-10-01
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: Remote Sensing Vol 17, Issue 19
+- **Target Audience**: Remote sensing, UAV localization researchers
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: 6.31M params. 77.3% Hard hit rate is on SELF-MADE dataset (Harbin/Qiqihar), NOT UAV-VisLoc. UAV-VisLoc Hard: 61.65%, RMSE@30=17.86m. Benchmarked on RTX 3090.
+- **Related Sub-question**: SQ-2, SQ-3
+
+## Source #3
+- **Title**: XFeat (CVPR 2024)
+- **Link**: https://github.com/verlab/accelerated_features
+- **Tier**: L1
+- **Publication Date**: 2024-06-01
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: CVPR 2024, actively maintained
+- **Target Audience**: Feature extraction/matching community
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: 5x faster than SuperPoint. AUC@10° 65.4 vs SuperPoint 50.1 on Megadepth. Built-in semi-dense matcher. ~15ms GPU, ~37ms CPU.
+- **Related Sub-question**: SQ-1
+
+## Source #4
+- **Title**: SatLoc-Fusion (MDPI 2025)
+- **Link**: https://www.mdpi.com/2072-4292/17/17/3048
+- **Tier**: L1
+- **Publication Date**: 2025-08-01
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: Remote Sensing, 2025
+- **Target Audience**: UAV navigation researchers
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: Uses XFeat for VO + DINOv2 for satellite matching. <15m error, >90% trajectory coverage, >2Hz on 6 TFLOPS edge hardware. Validates XFeat for UAV VO.
+- **Related Sub-question**: SQ-1
+
+## Source #5
+- **Title**: CVE-2025-32434 (PyTorch)
+- **Link**: https://nvd.nist.gov/vuln/detail/CVE-2025-32434
+- **Tier**: L1
+- **Publication Date**: 2025-04-01
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: PyTorch ≤2.5.1
+- **Target Audience**: All PyTorch users
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: RCE even with weights_only=True in torch.load(). Fixed in PyTorch 2.6+.
+- **Related Sub-question**: SQ-8
+
+## Source #6
+- **Title**: CVE-2026-24747 (PyTorch)
+- **Link**: CVE database
+- **Tier**: L1
+- **Publication Date**: 2026-01-01
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: Fixed in PyTorch 2.10.0+
+- **Target Audience**: All PyTorch users
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: Memory corruption in weights_only unpickler. Requires PyTorch ≥2.10.0.
+- **Related Sub-question**: SQ-8
+
+## Source #7
+- **Title**: Nature Scientific Reports - DINOv2 ViT comparison
+- **Link**: https://www.nature.com/articles/s41598-024-83358-8
+- **Tier**: L2
+- **Publication Date**: 2024-12-01
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: 2024
+- **Target Audience**: Computer vision researchers
+- **Research Boundary Match**: ⚠️ Partial overlap (classification, not retrieval)
+- **Summary**: ViT-S vs ViT-B: recall +2.54pp, precision +5.36pp. ViT-B uses ~900-1100MB VRAM vs ViT-S ~300MB. Not UAV-specific but indicative.
+- **Related Sub-question**: SQ-7
+
+## Source #8
+- **Title**: Google Maps Ukraine Imagery Policy
+- **Link**: https://en.ain.ua/2024/05/10/google-maps-shows-mariupol-irpin-and-other-cities-destroyed-by-russia/
+- **Tier**: L2
+- **Publication Date**: 2024-05-10
+- **Timeliness Status**: ✅ Currently valid
+- **Target Audience**: General public, geospatial users
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: Google intentionally does not publish recent imagery of conflict areas. Imagery is 1-3 years old for eastern Ukraine.
+- **Related Sub-question**: SQ-10
+
+## Source #9
+- **Title**: GTSAM IndeterminantLinearSystemException
+- **Link**: https://github.com/borglab/gtsam/issues/561
+- **Tier**: L4
+- **Publication Date**: 2021+
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: GTSAM 4.x
+- **Target Audience**: GTSAM users
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: iSAM2.update() can throw IndeterminantLinearSystemException with certain factor patterns. Need error handling.
+- **Related Sub-question**: SQ-9
+
+## Source #10
+- **Title**: EfficientLoFTR (CVPR 2024)
+- **Link**: https://github.com/zju3dv/EfficientLoFTR
+- **Tier**: L1
+- **Publication Date**: 2024-06-01
+- **Timeliness Status**: ✅ Currently valid
+- **Version Info**: 964 stars, CVPR 2024, HuggingFace integration
+- **Target Audience**: Feature matching community
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: LiteSAM's base architecture. 15.05M params. Much more mature than LiteSAM. Has HuggingFace integration. Well-proven codebase.
+- **Related Sub-question**: SQ-3
+
+## Source #11
+- **Title**: Tracasa SENX4 Ukraine Imagery
+- **Link**: https://tracasa.es/tracasa-offers-free-of-charge-500000-km2-of-super-resolved-sentinel-2-satellites-images-of-the-ukraine/
+- **Tier**: L2
+- **Publication Date**: 2022+
+- **Timeliness Status**: ⚠️ Needs verification
+- **Version Info**: Super-resolved Sentinel-2 to 2.5m
+- **Target Audience**: Ukraine geospatial users
+- **Research Boundary Match**: ✅ Full match
+- **Summary**: Free 500,000 km² of Ukraine at 2.5m resolution (deep learning super-resolution from 10m Sentinel-2). Could serve as fallback.
+- **Related Sub-question**: SQ-10
+
+## Source #12
+- **Title**: Maxar Ukraine Imagery Status
+- **Link**: https://en.defence-ua.com/news/maxar_satellite_imagery_is_still_available_in_ukraine_but_its_paid_only_now-13758.html
+- **Tier**: L3
+- **Publication Date**: 2025-03-01
+- **Timeliness Status**: ✅ Currently valid
+- **Summary**: Maxar restored Ukraine access March 2025 (was suspended). Paid-only. 31-50cm resolution.
+- **Related Sub-question**: SQ-10