• Acta Optica Sinica
  • Vol. 41, Issue 5, 0528001 (2021)
Wenqi Wang, Zongchun Li*, Yongjian Fu, Hua He, and Feng Xiong
Author Affiliations
  • Institute of Geospatial Information, PLA Strategic Support Force Information Engineering University, Zhengzhou, Henan 450001, China
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    DOI: 10.3788/AOS202141.0528001 Cite this Article Set citation alerts
    Wenqi Wang, Zongchun Li, Yongjian Fu, Hua He, Feng Xiong. Multi-Factor Segmentation of Point Cloud Based on Improved Multi-Rule Region Growing[J]. Acta Optica Sinica, 2021, 41(5): 0528001 Copy Citation Text show less
    References

    [1] Li M L, Zong W P, Li G Y et al. Extraction of structure line segments from point clouds using voxel-based region growing[J]. Acta Optica Sinica, 38, 0112001(2018).

    [2] Wang Y, Cheng L, Chen Y M et al. Building point detection from vehicle-borne LiDAR data based on voxel group and horizontal hollow analysis[J]. Remote Sensing, 8, 419(2016). http://adsabs.harvard.edu/abs/2016RemS....8..419W

    [3] Fang L N, Huang Z W, Luo H F et al. Solid lanes extraction from mobile laser scanning point clouds[J]. Acta Geodaetica et Cartographica Sinica, 48, 960-974(2019).

    [4] Ma Z Y, Pang Y, Li Z Y et al. Fine classification of near-ground point cloud based on terrestrial laser scanning and detection of forest fallen wood[J]. Journal of Remote Sensing, 23, 743-755(2019).

    [5] Feng J R, Ma X D, Guan H O et al. Calculation method of soybean plant height based on depth information[J]. Acta Optica Sinica, 39, 0515003(2019).

    [6] Ballard D H. Generalizing the Hough transform to detect arbitrary shapes[J]. Pattern Recognition, 13, 111-122(1981). http://www.sciencedirect.com/science/article/pii/0031320381900091

    [7] Fischler M A, Bolles R C. Random sample consensus[J]. Communications of the ACM, 24, 381-395(1981).

    [8] Lari Z, Habib A. An adaptive approach for the segmentation and extraction of planar and linear/cylindrical features from laser scanning data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 93, 192-212(2014). http://www.sciencedirect.com/science/article/pii/S0924271613002839

    [9] Wang X H, Wu L S, Chen H W et al. Feature line extraction from a point cloud based on region clustering segmentation[J]. Acta Optica Sinica, 38, 1110001(2018).

    [10] Rabbani T, Heuvel F A, Vosselman G. Segmentation of point clouds using smoothness constraint[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36, 248-253(2006).

    [11] Vo A V, Truong-Hong L, Laefer D F et al. Octree-based region growing for point cloud segmentation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 104, 88-100(2015). http://smartsearch.nstl.gov.cn/paper_detail.html?id=7dacaef228fe8f197ef845284ff11cd5

    [12] Zhang J X, Duan M Y, Yan Q et al. Automatic vehicle extraction from airborne LiDAR data using an object-based point cloud analysis method[J]. Remote Sensing, 6, 8405-8423(2014). http://adsabs.harvard.edu/abs/2014RemS....6.8405Z

    [13] Zhao Z Z, Zhang Y J. Building extraction from airborne laser point cloud using NDVI constrained watershed algorithm[J]. Acta Optica Sinica, 36, 1028002(2016).

    [14] Chen M Y, Tang Y C, Zou X J et al. Multi-shaped targets recognition and point clouds acquisition algorithm in complex environment[J]. Laser & Optoelectronics Progress, 55, 111505(2018).

    [15] Vosselman G, Coenen M, Rottensteiner F. Contextual segment-based classification of airborne laser scanner data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 128, 354-371(2017).

    [16] Tong G F, Li Y, Zhang W L et al. Point set multi-level aggregation feature extraction based on multi-scale max pooling and LDA for point cloud classification[J]. Remote Sensing, 11, 2846(2019). http://www.researchgate.net/publication/337639985_Point_Set_Multi-Level_Aggregation_Feature_Extraction_Based_on_Multi-Scale_Max_Pooling_and_LDA_for_Point_Cloud_Classification

    [17] Wu T. Object oriented classification and building extraction using airborne LiDAR point clouds[D]. Wuhan: Wuhan University, 11-43(2016).

    [18] Dong Z, Yang B S. Hierarchical extraction of multiple objects from mobile laser scanning data[J]. Acta Geodaetica et Cartographica Sinica, 44, 980-987(2015).

    [19] Luo H F, Fang L N, Chen C C et al. Road side multiple objects extraction from mobile laser scanning point cloud based on DBN[J]. Acta Geodaetica et Cartographica Sinica, 47, 234-246(2018).

    [20] Fan X H, Xu G L, Li W L et al. Target segmentation method for three-dimensional LiDAR point cloud based on depth image[J]. Chinese Journal of Lasers, 46, 0710002(2019).

    [21] Yang B S, Dong Z, Wei Z et al. Extracting complex building facades from mobile laser scanning data[J]. Acta Geodaetica et Cartographica Sinica, 42, 411-417(2013).

    [22] Lu W X, Wan Y C, He P P et al. Extracting and plane segmenting buildings from large scene point cloud[J]. Chinese Journal of Lasers, 42, 0914004(2015).

    [23] Yang B S, Dong Z, Liu Y et al. Computing multiple aggregation levels and contextual features for road facilities recognition using mobile laser scanning data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 126, 180-194(2017).

    [24] Fan J C, Mei C L[M]. Data analysis, 1-11(2010).

    [25] Barber C B, Dobkin D P, Huhdanpaa H. The quickhull algorithm for convex hulls[J]. ACM Transactions on Mathematical Software, 22, 469-483(1996). http://dl.acm.org/doi/abs/10.1145/235815.235821

    [26] Sui L F, Song L J, Chai H Z[M]. Error theory and foundation of surveying adjustment, 194-199(2010).

    [27] Roynard X, Deschaud J E, Goulette F. Paris-Lille-3D: a large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification[J]. The International Journal of Robotics Research, 37, 545-557(2018). http://arxiv.org/abs/1712.00032

    [28] Weinmann M, Jutzi B, Mallet C. Semantic 3D scene interpretation: a framework combining optimal neighborhood size selection with relevant features[J]. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 181-188(2014). http://adsabs.harvard.edu/abs/2014ISPAn.II3..181W

    [29] Weinmann M, Jutzi B, Hinz S et al. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 105, 286-304(2015). http://www.sciencedirect.com/science/article/pii/S0924271615000349

    [30] Zhang W M, Qi J B, Wan P et al. An easy-to-use airborne LiDAR data filtering method based on cloth simulation[J]. Remote Sensing, 8, 501(2016). http://www.ingentaconnect.com/content/doaj/20724292/2016/00000008/00000006/art00061

    [31] Zhao B F, Hua X H, Yu K G et al. Indoor point cloud segmentation using iterative Gaussian mapping and improved model fitting[J]. IEEE Transactions on Geoscience and Remote Sensing, 58, 7890-7907(2020).

    Wenqi Wang, Zongchun Li, Yongjian Fu, Hua He, Feng Xiong. Multi-Factor Segmentation of Point Cloud Based on Improved Multi-Rule Region Growing[J]. Acta Optica Sinica, 2021, 41(5): 0528001
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