On the public citation graph
A Three-Step Approach for TLS Point Cloud Classification
0 signed · 100 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_34openalex-snapshot
Learning Where to Classify in Multi-view Semantic Segmentation
inferredcites →https://doi.org/10.1007/978-3-540-88693-8_41openalex-snapshot
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
inferredcites →https://doi.org/10.1007/s11263-012-0517-8openalex-snapshot
Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation
inferredcites →https://doi.org/10.1007/s11432-012-4707-3openalex-snapshot
A mathematical morphology-based multi-level filter of LiDAR data for generating DTMs
inferredcites →https://doi.org/10.1007/s13218-010-0059-6openalex-snapshot
Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments
inferredcites →https://doi.org/10.1016/j.cad.2009.02.010openalex-snapshot
3D terrestrial LIDAR classifications with super-voxels and multi-scale Conditional Random Fields
inferredcites →https://doi.org/10.1016/j.isprsjprs.2009.03.003openalex-snapshot
Discrimination between marls and limestones using intensity data from terrestrial laser scanner
inferredcites →https://doi.org/10.1016/j.isprsjprs.2011.08.006openalex-snapshot
Recognizing basic structures from mobile laser scanning data for road inventory studies
inferredcites →https://doi.org/10.1016/j.isprsjprs.2011.09.008openalex-snapshot
Relevance assessment of full-waveform lidar data for urban area classification
inferredcites →https://doi.org/10.1016/j.isprsjprs.2011.12.006openalex-snapshot
Building extraction from oblique airborne imagery based on robust façade detection
inferredcites →https://doi.org/10.1016/j.isprsjprs.2012.01.006openalex-snapshot
3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology
inferredcites →https://doi.org/10.1016/j.rse.2008.02.004openalex-snapshot
Object-based land cover classification using airborne LiDAR
inferredcites →https://doi.org/10.1016/j.rse.2009.01.017openalex-snapshot
The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar
inferredcites →https://doi.org/10.1109/3dimpvt.2012.12openalex-snapshot
Difference of Normals as a Multi-scale Operator in Unorganized Point Clouds
inferredcites →https://doi.org/10.1109/cvpr.2005.133openalex-snapshot
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
inferredcites →https://doi.org/10.1109/cvpr.2013.20openalex-snapshot
Joint 3D Scene Reconstruction and Class Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299075openalex-snapshot
3D all the way: Semantic segmentation of urban scenes from start to end in 3D
inferredcites →https://doi.org/10.1109/cvprw.2008.4563064openalex-snapshot
Multi-scale Conditional Random Fields for over-segmented irregular 3D point clouds classification
inferredcites →https://doi.org/10.1109/iccv.2009.5459175openalex-snapshot
Class segmentation and object localization with superpixel neighborhoods
inferredcites →https://doi.org/10.1109/iccv.2009.5459471openalex-snapshot
Shape-based recognition of 3D point clouds in urban environments
inferredcites →https://doi.org/10.1109/jstars.2013.2251457openalex-snapshot
Aerial 3D Building Detection and Modeling From Airborne LiDAR Point Clouds
inferredcites →https://doi.org/10.1109/lgrs.2015.2398814openalex-snapshot
Rock Surface Classification in a Mine Drift Using Multiscale Geometric Features
inferredcites →https://doi.org/10.1109/robot.2009.5152856openalex-snapshot
Onboard contextual classification of 3-D point clouds with learned high-order Markov Random Fields
inferredcites →https://doi.org/10.1109/tgrs.2013.2273619openalex-snapshot
Facade Reconstruction Using Multiview Spaceborne TomoSAR Point Clouds
inferredcites →https://doi.org/10.1109/tgrs.2014.2337658openalex-snapshot
Analysis of Oblique Aerial Images for Land Cover and Point Cloud Classification in an Urban Environment
inferredcites →https://doi.org/10.1109/tgrs.2014.2357078openalex-snapshot
Saliency-Guided Unsupervised Feature Learning for Scene Classification
inferredcites →https://doi.org/10.1109/tgrs.2014.2359951openalex-snapshot
A Multiscale and Hierarchical Feature Extraction Method for Terrestrial Laser Scanning Point Cloud Classification
inferredcites →https://doi.org/10.1109/tgrs.2016.2514508openalex-snapshot
A Multilevel Point-Cluster-Based Discriminative Feature for ALS Point Cloud Classification
inferredcites →https://doi.org/10.1109/tip.2014.2348795openalex-snapshot
Joint Segmentation of Images and Scanned Point Cloud in Large-Scale Street Scenes With Low-Annotation Cost
inferredcites →https://doi.org/10.1109/tpami.2004.60openalex-snapshot
An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
inferredcites →https://doi.org/10.1145/1882261.1866177openalex-snapshot
Automatic reconstruction of tree skeletal structures from point clouds
inferredcites →https://doi.org/10.15607/rss.2008.iv.002openalex-snapshot
Laser and Vision Based Outdoor Object Mapping
inferredcites →https://doi.org/10.15607/rss.2008.iv.003openalex-snapshot
Fast Probabilistic Labeling of City Maps
inferredcites →https://doi.org/10.3390/rs3102207openalex-snapshot
Analysis of Incidence Angle and Distance Effects on Terrestrial Laser Scanner Intensity: Search for Correction Methods
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4573196openalex-extracted
Automatic Structure Segmentation and Classification of Complex Railway Tunnels from Mobile Laser Scanning Data
inferred← citeshttps://doi.org/10.1007/978-3-030-66840-2_103openalex-snapshot
Segmentation-Based 3D Point Cloud Classification on a Large-Scale and Indoor Semantic Segmentation Dataset
inferred← citeshttps://doi.org/10.1007/978-3-031-16954-0openalex-snapshot
Optimal Surface Fitting of Point Clouds Using Local Refinement
inferred← citeshttps://doi.org/10.1007/978-3-031-16954-0_6openalex-snapshot
LR B-Spline Surfaces and Volumes for Deformation Analysis of Terrain Data
inferred← citeshttps://doi.org/10.1007/978-981-97-5181-5_24openalex-snapshot
Grid Engineering Point Cloud Device Clustering Segmentation and Three-Dimensional Shape Retrieval Technology for Grid Digital Handover Method
inferred← citeshttps://doi.org/10.1007/978-981-97-5181-5_4openalex-snapshot
Modeling Technology for Complex Dynamic Operating Environment of Power Grid Based on Digital Twins
inferred← citeshttps://doi.org/10.1007/978-981-97-5184-6_19openalex-snapshot
Three-Dimensional Model Resume Transfer Technology for the Entire Lifecycle of Power Grid Equipment
inferred← citeshttps://doi.org/10.1007/978-981-99-1431-9_59openalex-snapshot
Deep Learning-Based 3-D Model for the Cultural Heritage Sites in the State of Gujarat, India
inferred← citeshttps://doi.org/10.1007/s11227-024-06406-0openalex-snapshot
Multistage strategy for ground point filtering on large-scale datasets
inferred← citeshttps://doi.org/10.1016/b978-0-443-16001-1.00008-5openalex-snapshot
Intelligent recording of cultural heritage: From point clouds to semantic enriched models
inferred← citeshttps://doi.org/10.1016/j.autcon.2020.103338openalex-snapshot
Unsupervised reconstruction of Building Information Modeling wall objects from point cloud data
inferred← citeshttps://doi.org/10.1016/j.buildenv.2022.109056openalex-snapshot
Data acquisition for urban building energy modeling: A review
inferred← citeshttps://doi.org/10.1016/j.engstruct.2024.118113openalex-snapshot
Pixel-level block classification and crack detection from 3D reconstruction models of masonry structures using convolutional neural networks
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.02.008openalex-snapshot
Large-scale urban point cloud labeling and reconstruction
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.04.018openalex-snapshot
A probabilistic graphical model for the classification of mobile LiDAR point clouds
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.11.022openalex-snapshot
Improving LiDAR classification accuracy by contextual label smoothing in post-processing
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.02.020openalex-snapshot
Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.04.001openalex-snapshot
Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.08.008openalex-snapshot
A Review of panoptic segmentation for mobile mapping point clouds
inferred← citeshttps://doi.org/10.1016/j.measurement.2023.113684openalex-snapshot
A review of terrestrial laser scanning (TLS)-based technologies for deformation monitoring in engineering
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.113343openalex-snapshot
A point cloud segmentation method for open-pit mines considering multi-scale local features
inferred← citeshttps://doi.org/10.1061/(asce)co.1943-7862.0002171openalex-snapshot
CLOI: An Automated Benchmark Framework for Generating Geometric Digital Twins of Industrial Facilities
inferred← citeshttps://doi.org/10.1061/9780784483893.068openalex-snapshot
CLOI: An Automated Benchmark Framework for Generating Geometric Digital Twins of Industrial Facilities
inferred← citeshttps://doi.org/10.1061/jpcfev.cfeng-4205openalex-snapshot
A State-of-the-Practice Review of Three-Dimensional Laser Scanning Technology for Tunnel Distress Monitoring
inferred← citeshttps://doi.org/10.1080/01431161.2019.1662966openalex-snapshot
Identification of trees and their trunks from mobile laser scanning data of roadway scenes
inferred← citeshttps://doi.org/10.1080/17538947.2020.1805037openalex-snapshot
The role of machine intelligence in photogrammetric 3D modeling – an overview and perspectives
inferred← citeshttps://doi.org/10.1109/access.2023.3335607openalex-snapshot
A Knowledge-Based Multi-Scale Adaptive Classification Approach for Mobile Laser Scanning Point Clouds in Urban Scenes
inferred← citeshttps://doi.org/10.1109/fmlds63805.2024.00086openalex-snapshot
Comprehensive Analysis of Structural Defects in Various Structures Using TLS Data and Machine Learning
inferred← citeshttps://doi.org/10.1109/jsen.2021.3073535openalex-snapshot
Building Roof Superstructures Classification From Imbalanced and Low Density Airborne LiDAR Point Cloud
inferred← citeshttps://doi.org/10.1109/jstars.2016.2628399openalex-snapshot
Classification of Urban Point Clouds: A Robust Supervised Approach With Automatically Generating Training Data
inferred← citeshttps://doi.org/10.1109/jstars.2016.2628775openalex-snapshot
A Bayesian-Network-Based Classification Method Integrating Airborne LiDAR Data With Optical Images
inferred← citeshttps://doi.org/10.1109/jstars.2018.2793915openalex-snapshot
Joint Clusters and Iterative Graph Cuts for ALS Point Cloud Filtering
inferred← citeshttps://doi.org/10.1109/jstars.2018.2869542openalex-snapshot
Voxel-Based Extraction of Transmission Lines From Airborne LiDAR Point Cloud Data
inferred← citeshttps://doi.org/10.1109/jstars.2018.2869801openalex-snapshot
Voxel-Based Extraction and Classification of 3-D Pole-Like Objects From Mobile LiDAR Point Cloud Data
inferred← citeshttps://doi.org/10.1109/jstars.2019.2951293openalex-snapshot
Classification of LiDAR Point Clouds Using Supervoxel-Based Detrended Feature and Perception-Weighted Graphical Model
inferred← citeshttps://doi.org/10.1109/jstars.2021.3077568openalex-snapshot
A Hierarchical Approach for Point Cloud Classification With 3D Contextual Features
inferred← citeshttps://doi.org/10.1109/lgrs.2018.2860589openalex-snapshot
Classification of Terrestrial Laser Scanning Data With Density-Adaptive Geometric Features
inferred← citeshttps://doi.org/10.1109/mgrs.2019.2937630openalex-snapshot
Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
inferred← citeshttps://doi.org/10.1109/tgrs.2017.2769120openalex-snapshot
Deep Learning-Based Classification and Reconstruction of Residential Scenes From Large-Scale Point Clouds
inferred← citeshttps://doi.org/10.1109/tgrs.2018.2802935openalex-snapshot
Semantic Labeling of Mobile LiDAR Point Clouds via Active Learning and Higher Order MRF
inferred← citeshttps://doi.org/10.1109/tgrs.2018.2829625openalex-snapshot
A Deep Neural Network With Spatial Pooling (DNNSP) for 3-D Point Cloud Classification
inferred← citeshttps://doi.org/10.1109/tgrs.2020.2984943openalex-snapshot
Indoor Point Cloud Segmentation Using Iterative Gaussian Mapping and Improved Model Fitting
inferred← citeshttps://doi.org/10.1109/tgrs.2020.2985695openalex-snapshot
MS-RRFSegNet: Multiscale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds
inferred← citeshttps://doi.org/10.1109/tgrs.2022.3171038openalex-snapshot
DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds
inferred← citeshttps://doi.org/10.1111/phor.12215openalex-snapshot
Object‐based classification of terrestrial laser scanning point clouds for landslide monitoring
inferred← citeshttps://doi.org/10.1111/phor.2017.32.issue-160openalex-snapshot
Object-based classification of terrestrial laser scanning point clouds for landslide monitoring
inferred← citeshttps://doi.org/10.1117/12.2613698openalex-snapshot
Classification of terresrial laser scanning data based on multi-dimensional geometry features
inferred← citeshttps://doi.org/10.2493/jjspe.90.635openalex-snapshot
Object Recognition from 3D Point Clouds : A Survey for Beginners
inferred← citeshttps://doi.org/10.3390/buildings12070968openalex-snapshot
Feature-Based Deep Learning Classification for Pipeline Component Extraction from 3D Point Clouds
inferred← citeshttps://doi.org/10.3390/ijgi11040214openalex-snapshot
The Point Cloud Semantic Segmentation Method for the Ming and Qing Dynasties’ Official-Style Architecture Roof Considering the Construction Regulations
inferred← citeshttps://doi.org/10.3390/ijgi9090535openalex-snapshot
Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation
inferred← citeshttps://doi.org/10.3390/rs10040612openalex-snapshot
MSNet: Multi-Scale Convolutional Network for Point Cloud Classification
inferred← citeshttps://doi.org/10.3390/rs13214392openalex-snapshot
Building Extraction from Terrestrial Laser Scanning Data with Density of Projected Points on Polar Grid and Adaptive Threshold
inferred← citeshttps://doi.org/10.3390/rs14205099openalex-snapshot
Classification of Terrestrial Laser Scanner Point Clouds: A Comparison of Methods for Landslide Monitoring from Mathematical Surface Approximation
inferred← citeshttps://doi.org/10.3390/rs14236043openalex-snapshot
Using Relative Projection Density for Classification of Terrestrial Laser Scanning Data with Unknown Angular Resolution
inferred← citeshttps://doi.org/10.3390/rs9111202openalex-snapshot
Estimating Leaf Area Density of Individual Trees Using the Point Cloud Segmentation of Terrestrial LiDAR Data and a Voxel-Based Model
inferred← citeshttps://doi.org/10.3390/s18124206openalex-snapshot
Comparison of Different Feature Sets for TLS Point Cloud Classification
inferred← citeshttps://doi.org/10.3390/s26010153openalex-snapshot
Classification of Point Cloud Data in Road Scenes Based on PointNet++
inferred← citeshttps://doi.org/10.48550/arxiv.2104.02979openalex-snapshot
Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation
inferred← citeshttps://doi.org/10.5194/isprs-annals-iv-2-w7-63-2019openalex-snapshot
SEMANTIC LABELING AND REFINEMENT OF LIDAR POINT CLOUDS USING DEEP NEURAL NETWORK IN URBAN AREAS
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-2-w13-1169-2019openalex-snapshot
AN IMPROVED COHERENT POINT DRIFT METHOD FOR TLS POINT CLOUD REGISTRATION OF COMPLEX SCENES
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlii-2-w7-431-2017openalex-snapshot
AUTOMATIC RECOGNITION OF INDOOR NAVIGATION ELEMENTS FROM KINECT POINT CLOUDS
inferred← citeshttps://doi.org/10.5194/isprs-archives-xliii-b2-2020-191-2020openalex-snapshot
AN ADAPTED CONNECTED COMPONENT LABELING FOR CLUSTERING NON-PLANAR OBJECTS FROM AIRBORNE LIDAR POINT CLOUD
inferred← citeshttps://doi.org/10.70675/ca24c42cz6d47z4d9dza663zd4a6e4569304openalex-snapshot
Object detection in unstructured 3D data sets using explicit semantics
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.