Suchergebnisse - Spatial Data Mining and Cloud Model Applications
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Data Mining Application Based on Cloud Model in Spatial Decision Support System
ISBN: 076953290X, 9780769532905ISSN: 2154-9613Veröffentlicht: IEEE 01.08.2008Veröffentlicht in 2008 ISECS International Colloquium on Computing, Communication, Control, and Management (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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Point Cloud Data Mining With HD Map Priors for Making Synthetic Forest Datasets
ISSN: 1939-1404, 2151-1535Veröffentlicht: Piscataway IEEE 2025Veröffentlicht in IEEE journal of selected topics in applied earth observations and remote sensing (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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A Point Cloud Segmentation Method for Dim and Cluttered Underground Tunnel Scenes Based on the Segment Anything Model
ISSN: 2072-4292, 2072-4292Veröffentlicht: Basel MDPI AG 01.01.2024Veröffentlicht 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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Theoretical Signal Extraction Model of Spatial Density-Based Algorithms and Its Extraction Capacity Analysis for Photon-Counting Lidars
ISSN: 0196-2892, 1558-0644Veröffentlicht: New York IEEE 2025Veröffentlicht in IEEE transactions on geoscience and remote sensing (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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Spatial compactness metrics and Constrained Voxel Automata development for analyzing 3D densification and applying to point clouds: A synthetic review
ISSN: 0926-5805, 1872-7891Veröffentlicht: Amsterdam Elsevier B.V 01.12.2018Veröffentlicht 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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Plantformer: plant point cloud completion based on local–global feature aggregation and spatial context-aware transformer
ISSN: 0941-0643, 1433-3058Veröffentlicht: London Springer London 01.02.2025Veröffentlicht 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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Research on human performance evaluation model based on neural network and data mining algorithm
ISSN: 1687-1499, 1687-1472, 1687-1499Veröffentlicht: Cham Springer International Publishing 10.09.2020Veröffentlicht in EURASIP journal on wireless communications and networking (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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COMBINING TERRESTRIAL SCANNED DATASETS WITH UAV POINT CLOUDS FOR MINING OPERATIONS
ISSN: 2194-9050, 2194-9042, 2194-9050Veröffentlicht: Gottingen Copernicus GmbH 17.06.2021Veröffentlicht in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (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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In-Situ Block Characterization of Jointed Rock Exposures Based on a 3D Point Cloud Model
ISSN: 2072-4292, 2072-4292Veröffentlicht: Basel MDPI AG 01.07.2021Veröffentlicht 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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Advanced Machine Learning Applications in Big Data Analytics
ISBN: 9783036584874, 3036584870, 3036584862, 9783036584867Veröffentlicht: 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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A Stepwise Minimum Spanning Tree Matching Method for Registering Vehicle-borne and Backpack LiDAR Point Clouds
ISSN: 0196-2892, 1558-0644Veröffentlicht: New York IEEE 01.01.2022Veröffentlicht in IEEE transactions on geoscience and remote sensing (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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ResMorCNN Model: Hyperspectral Images Classification Using Residual-Injection Morphological Features and 3DCNN Layers
ISSN: 1939-1404, 2151-1535Veröffentlicht: Piscataway IEEE 2024Veröffentlicht in IEEE journal of selected topics in applied earth observations and remote sensing (2024)“… The advancement of processing capabilities and the emergence of cloud computing platforms have made deep learning (DL …”
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APPLICATION AND PLATFORM DESIGN OF SPATIOTEMPORAL DATA OPENING AND SHARING
ISSN: 2194-9034, 1682-1750, 2194-9034Veröffentlicht: Gottingen Copernicus GmbH 01.06.2022Veröffentlicht in International archives of the photogrammetry, remote sensing and spatial information sciences. (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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Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds
ISSN: 1365-1609, 1873-4545Veröffentlicht: Berlin Elsevier Ltd 01.09.2018Veröffentlicht in International journal of rock mechanics and mining sciences (Oxford, England : 1997) (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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BiMAConv: Bimodal Adaptive Convolution for Multispectral Point Cloud Segmentation
ISSN: 1545-598X, 1558-0571Veröffentlicht: Piscataway IEEE 2025Veröffentlicht in IEEE geoscience and remote sensing letters (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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Advanced Analysis of Blast Pile Fragmentation in Open-Pit Mining Utilizing 3D Point Cloud Technology
ISSN: 0765-0019, 1958-5608Veröffentlicht: Edmonton International Information and Engineering Technology Association (IIETA) 01.12.2023Veröffentlicht 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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Key technologies and monitoring model for large-scale data perception of CH4 in coal mining faces
ISSN: 1671-251XVeröffentlicht: Editorial Department of Industry and Mine Automation 01.11.2024Veröffentlicht in Gong kuang zi dong hua = Industry and mine automation (01.11.2024)“… These shortcomings result in inadequate data sample sizes required for comprehensive perception of mines and coal mining faces, low information transparency, and reduced accuracy in hazard …”
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General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong
ISSN: 1009-637X, 1861-9568Veröffentlicht: Heidelberg SP Science China Press 01.10.2010Veröffentlicht 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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Feature Papers of Drones Vol. 1
ISBN: 9783036561875, 3036561870, 3036561889, 9783036561882Veröffentlicht: 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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Feature Papers of Drones Vol. 2
ISBN: 9783036561905, 3036561900, 9783036561899, 3036561897Veröffentlicht: 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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