{
  "abstract": "Manual joint surveys on open-pit mine slopes are high-risk and inefficient, whereas conventional remote sensing and laser scanning are costly and limited in fine-crack detection. To enable low-cost, high-precision, noncontact structural plane interpretation, this study targets the southern slope of the Shitoumei No. 1 open-pit coal mine and presents a joint recognition method that integrates unmanned aerial vehicle (UAV) close-range photogrammetry with an octree-based adaptive statistical outlier removal (SOR) filter using two-layer locality-sensitive hashing (2 L-LSH). High-overlap close-range images from real-time kinematic (RTK)-equipped UAVs are reconstructed into centimeter-scale dense point clouds. An octree-based multiscale density-driven adaptive filter, combined with 2 L-LSH for accelerated nearest-neighbor search, resolves the noise‒crack preservation trade-off caused by uneven point–cloud density and enhances computational efficiency. Four clustering algorithms, namely, discontinuity set extractor (DSE), K-means, region growing, and fuzzy C-means (FCM), were compared; FCM was optimized to semiautomatically extract five dominant joint sets with orientations, trace lengths, and spacings. Compared with the conventional SOR filter, the proposed method achieves a 188-fold increase in computational speed and yields a 126% improvement in comprehensive filtering performance. The optimized FCM achieves a mean orientation deviation of 3.2° and a misclassification rate of 3.3%. This workflow enables safe and efficient acquisition of rock-mass joint geometric parameters, as demonstrated for the investigated Shitoumei No. 1 open-pit mine site.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "name": "Xiangfeng Jia"
    },
    {
      "name": "Junpeng Huang"
    },
    {
      "name": "Wenqian Li"
    },
    {
      "name": "Kaikai Fan"
    },
    {
      "name": "Chengquan Hou"
    },
    {
      "name": "Nuo Cheng"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7b8v625vmbd1s.bib",
  "cited_by": 0,
  "doi": "10.1038/s41598-026-73543-2",
  "fulltext_url": null,
  "id": "7b8v625vmbd1s",
  "issns": [
    "2045-2322"
  ],
  "landing_url": "https://www.nature.com/articles/s41598-026-73543-2",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "1907|3D Surveying and Cultural Heritage"
    ]
  ],
  "openalex": "W7220903799",
  "pdf_url": "https://www.nature.com/articles/s41598-026-73543-2_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-08",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/7b8v625vmbd1s.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:24Z",
      "native_id": "10.1038/s41598-026-73543-2",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s41598-026-73543-2"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:1907|3D Surveying and Cultural Heritage",
      "subfield": "geology-geochemistry"
    }
  ],
  "title": "UAV close-range photogrammetry combined with adaptive octree-based point cloud filtering for rock joint extraction of open-pit mine slopes",
  "title_text": "UAV close-range photogrammetry combined with adaptive octree-based point cloud filtering for rock joint extraction of open-pit mine slopes",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:24Z",
  "url": "https://research.draconitic.com/paper/7b8v625vmbd1s",
  "venue": "Scientific Reports",
  "versions": []
}