Search Results - Spatial Data Mining and Cloud Model Applications

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  1. 1

    Data Mining Application Based on Cloud Model in Spatial Decision Support System by Hong-li Wang, Li Meng, Mu-kun Cao, Yan Li

    ISBN: 076953290X, 9780769532905
    ISSN: 2154-9613
    Published: IEEE 01.08.2008
    “… Firstly the multi-dimension cloud model is given to represent the knowledge stored in knowledge database in space decision support system…”
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    Conference Proceeding
  2. 2

    Point Cloud Data Mining With HD Map Priors for Making Synthetic Forest Datasets by Karlauskas, Kasparas, Gelsvartas, Julius, Treigys, Povilas

    ISSN: 1939-1404, 2151-1535
    Published: Piscataway IEEE 2025
    “… The spatial information in 3-D point clouds, the data produced in airborne laser scanning surveys, can be leveraged to glean insights about the target area that would usually be unavailable in 2D…”
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    Journal Article
  3. 3

    A Point Cloud Segmentation Method for Dim and Cluttered Underground Tunnel Scenes Based on the Segment Anything Model by Kang, Jitong, Chen, Ning, Li, Mei, Mao, Shanjun, Zhang, Haoyuan, Fan, Yingbo, Liu, Hui

    ISSN: 2072-4292, 2072-4292
    Published: Basel MDPI AG 01.01.2024
    Published in Remote sensing (Basel, Switzerland) (01.01.2024)
    “… Currently, traditional methods for segmenting point clouds in tunnel scenes often rely on a multitude of attribute information, including spatial distribution, color, normal vectors, intensity, and density…”
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    Journal Article
  4. 4

    Theoretical Signal Extraction Model of Spatial Density-Based Algorithms and Its Extraction Capacity Analysis for Photon-Counting Lidars by Liu, Xinyuan, Xu, Jingyi, Ma, Yue, Zhao, Pufan, Yang, Jian, Li, Song, Ge, Linlin

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2025
    “…). An efficient signal extraction algorithm is critical for further applications of ICESat-2 data, and the spatial density-based algorithms perform well and have been verified in various scenarios, e.g…”
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    Journal Article
  5. 5

    Spatial compactness metrics and Constrained Voxel Automata development for analyzing 3D densification and applying to point clouds: A synthetic review by Shirowzhan, Sara, Sepasgozar, Samad M.E., Li, Heng, Trinder, John

    ISSN: 0926-5805, 1872-7891
    Published: Amsterdam Elsevier B.V 01.12.2018
    Published in Automation in construction (01.12.2018)
    “… Two and three-dimensional compactness metrics are critically reviewed based on the scale of urban modeling, application in urban studies and architecture, and the capability to model spatial and temporal urban changes…”
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    Journal Article
  6. 6

    Plantformer: plant point cloud completion based on local–global feature aggregation and spatial context-aware transformer by Li, Xiaomeng, Li, Fei, Qi, Yanyu, Li, Zhenbo

    ISSN: 0941-0643, 1433-3058
    Published: London Springer London 01.02.2025
    Published in Neural computing & applications (01.02.2025)
    “… Three-dimensional (3D) point cloud is a powerful paradigm in plant phenotypic analysis, which can effectively represent 3D structure and alleviate occlusion-related issues…”
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    Journal Article
  7. 7

    Research on human performance evaluation model based on neural network and data mining algorithm by Liang, Wei, Li, Tingyi

    ISSN: 1687-1499, 1687-1472, 1687-1499
    Published: Cham Springer International Publishing 10.09.2020
    “…In order to effectively evaluate personnel performance, a distributed data mining algorithm for spatial networks based on BP neural wireless network is proposed…”
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    Journal Article
  8. 8

    COMBINING TERRESTRIAL SCANNED DATASETS WITH UAV POINT CLOUDS FOR MINING OPERATIONS by Fotheringham, M., Paudyal, D. R.

    ISSN: 2194-9050, 2194-9042, 2194-9050
    Published: Gottingen Copernicus GmbH 17.06.2021
    “… This research paper investigates the effects of combining data sets for creating 3D surface models from independent spatial data collection methods such as UAV, TLS and GNSS and assess their accuracy…”
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    Journal Article
  9. 9

    In-Situ Block Characterization of Jointed Rock Exposures Based on a 3D Point Cloud Model by Kong, Deheng, Wu, Faquan, Saroglou, Charalampos, Sha, Peng, Li, Bo

    ISSN: 2072-4292, 2072-4292
    Published: Basel MDPI AG 01.07.2021
    Published in Remote sensing (Basel, Switzerland) (01.07.2021)
    “… in varied forms of exposures and patterns of jointing is still a challenging task. Using a point cloud model (PCM…”
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    Journal Article
  10. 10

    Advanced Machine Learning Applications in Big Data Analytics

    ISBN: 9783036584874, 3036584870, 3036584862, 9783036584867
    Published: MDPI - Multidisciplinary Digital Publishing Institute 2023
    “…With the development of computer technology and communication technology, various industries have collected a large amount of data in different forms, so-called big data…”
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    eBook
  11. 11

    A Stepwise Minimum Spanning Tree Matching Method for Registering Vehicle-borne and Backpack LiDAR Point Clouds by Wu, Bin, Yang, Lei, Wu, Qiusheng, Zhao, Yi, Pan, Zhan, Xiao, Tian, Zhang, Jiarui, Wu, Jianping, Yu, Bailang

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 01.01.2022
    “… Therefore, a mismatch between VLS and BLS point clouds data is quite common. Fusing VLS and BLS data in different coordinate systems could provide a comprehensive survey of urban built environments…”
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    Journal Article
  12. 12

    ResMorCNN Model: Hyperspectral Images Classification Using Residual-Injection Morphological Features and 3DCNN Layers by Esmaeili, Mohammad, Abbasi-Moghadam, Dariush, Sharifi, Alireza, Tariq, Aqil, Li, Qingting

    ISSN: 1939-1404, 2151-1535
    Published: Piscataway IEEE 2024
    “… The advancement of processing capabilities and the emergence of cloud computing platforms have made deep learning (DL…”
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    Journal Article
  13. 13

    APPLICATION AND PLATFORM DESIGN OF SPATIOTEMPORAL DATA OPENING AND SHARING by Li, H., Huang, W., Zheng, X., Ding, L.

    ISSN: 2194-9034, 1682-1750, 2194-9034
    Published: Gottingen Copernicus GmbH 01.06.2022
    “… The research methods of domestic and foreign scholars on the opening and sharing of spatiotemporal data mainly focus on spatiotemporal data model, database research, big data mining analysis and visual expression…”
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    Journal Article Conference Proceeding
  14. 14

    Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds by Drews, T., Miernik, G., Anders, K., Höfle, B., Profe, J., Emmerich, A., Bechstädt, T.

    ISSN: 1365-1609, 1873-4545
    Published: Berlin Elsevier Ltd 01.09.2018
    “…This paper presents (1) an automated method to extract planes and their spatial orientation directly from 3D point clouds, followed by (2…”
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    Journal Article
  15. 15

    BiMAConv: Bimodal Adaptive Convolution for Multispectral Point Cloud Segmentation by Zhang, Zheng, Xu, Tingfa, Lou, Peng, Lv, Peng, Tian, Tiehong, Li, Jianan

    ISSN: 1545-598X, 1558-0571
    Published: Piscataway IEEE 2025
    “…Multispectral point cloud segmentation, leveraging both spatial and spectral information to classify individual points, is crucial for applications such as remote sensing, autonomous driving, and urban planning…”
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    Journal Article
  16. 16

    Advanced Analysis of Blast Pile Fragmentation in Open-Pit Mining Utilizing 3D Point Cloud Technology by Li, Pingfeng, Xie, Shoudong, Xia, Heping, Wang, Dakun, Xu, Zhenyang

    ISSN: 0765-0019, 1958-5608
    Published: Edmonton International Information and Engineering Technology Association (IIETA) 01.12.2023
    Published in Traitement du signal (01.12.2023)
    “… This study pioneers a novel approach, harnessing the capabilities of 3D laser scanning technology to acquire comprehensive spatial data of blast piles…”
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    Journal Article
  17. 17

    General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong by Deng, Yu, Liu, Shenghe, Zhang, Wenting, Wang, Li, Wang, Jianghao

    ISSN: 1009-637X, 1861-9568
    Published: Heidelberg SP Science China Press 01.10.2010
    Published in Journal of geographical sciences (01.10.2010)
    “… In view of the above, this paper sets forth a general multi-dimensional cloud model, which describes the characteristics of spatial objects more reasonably according to the idea of non-homogeneous and non-symmetry…”
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    Journal Article
  18. 18

    Feature Papers of Drones Vol. 1

    ISBN: 9783036561875, 3036561870, 3036561889, 9783036561882
    Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
    “…This reprint compiles the articles, communications, and review articles from top researchers describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles…”
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    eBook
  19. 19

    Feature Papers of Drones Vol. 2

    ISBN: 9783036561905, 3036561900, 9783036561899, 3036561897
    Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
    “…This reprint compiles the articles, communications, and review articles from top researchers describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles…”
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    eBook
  20. 20

    Building 3D CityGML models of mining industrial structures using integrated UAV and TLS point clouds by Van, Canh Le, Cao, Cuong Xuan, Nguyen, Anh Ngoc, Pham, Chung Van, Nguyen, Long Quoc

    ISSN: 2095-8293, 2198-7823
    Published: Singapore Springer Nature Singapore 01.12.2023
    “… 3D models of the real world have been increasingly popular with numerous applications, such as digital twins and smart factory management…”
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    Journal Article