Studying of urban features by the multifunctional approach to LiDAR data processing

Kostrikov, Sergiy; Pudlo, Rostyslav; Kostrikova, Anna; Bubnov, Dmitry

doi:10.1109/jurse.2019.8809063

Cited by 6 publications

(25 citation statements)

References 14 publications

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“…Once we already commonly classified the automated feature extraction approaches on the base of an input data source [1]. The first approach means processing the high-resolution airborne imageries with additional including of digital elevation models (DEM) into an AFE-pipeline [7,55].…”

Section: Overall Afe Issuesmentioning

confidence: 99%

“…We have already presented the High Polyhedral models (HPM) of buildings and the Low Polyhedral ones (LPM) [1]. These two categories not only are the components of the authors' Lidar data processing methodology but also they are mentioned in the surveying section of this text only because HPM / LPM definitions reflect two significant mainstreams in the existing automated feature extraction.…”

Section: Overall Afe Issuesmentioning

confidence: 99%

“…The relevant modeling software tools can provide by a Point Cloud segmentation and clustering procedures of building detection and extraction the models of low-rise buildings preferably through rural areas and suburbs [1]. Simulating procedures stay within the Low Polyhedral Modeling approach, which is based on procedures of planar segmentation of Lidar point clouds rather, than on their classification (the case of HPM).…”

Section: Detection Segmentation and Reconstruction Of Building Roofsmentioning

confidence: 99%

“…Finally, the reciprocal intersections of the summarized planar facets are employed for extraction of building corners and for definitions of corresponding extracted feature orientations. A quite resembling technique have been used in our high polyhedral modeling for the building extraction [1].…”

Section: Detection Segmentation and Reconstruction Of Building Roofsmentioning

confidence: 99%

“…This text is a significantly changed extension of the work firstly presented as a conference paper [1].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Automated Extraction of Heavyweight and Lightweight Models of Urban Features from LiDAR Point Clouds by Specialized Web-Software

Kostrikov¹,

Pudlo²,

Bubnov³

et al. 2020

Adv. sci. technol. eng. syst. j.

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Section: Overall Afe Issuesmentioning

confidence: 99%

Section: Overall Afe Issuesmentioning

confidence: 99%

Section: Detection Segmentation and Reconstruction Of Building Roofsmentioning

confidence: 99%

Section: Detection Segmentation and Reconstruction Of Building Roofsmentioning

confidence: 99%

“…This text is a significantly changed extension of the work firstly presented as a conference paper [1].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Automated Extraction of Heavyweight and Lightweight Models of Urban Features from LiDAR Point Clouds by Specialized Web-Software

Kostrikov¹,

Pudlo²,

Bubnov³

et al. 2020

Adv. sci. technol. eng. syst. j.

Self Cite

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Geoinformation approach to the urban geographic system research (case studies of Kharkiv region)

2018

Visnyk of V.N. Karazin Kharkiv National University, Series Geology. Geography. Ecology

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Research problem introduction. The main research goal of this paper is to provide the urban geosystem research concept with both the theoretical basics presentation of GIS involvement in urban studies, and with examples of its practical applications. An urbogeosystem (UGS) has been presented not as a simple aggregate of cities, but as the emergent entity that produced complicated interconnections and interdependencies among its constituents. By the urbogeosystem concept the authors attempt to introduce a reliable research approach that has been deliberately developed to identify the nature and spatial peculiarities of the urbanization process in a given area. The exigency of this concept elaboration is listed by the number of needs and illustrated with ordinary 2D digital city cadaster limitations. The methodological background has been proposed, and its derivative applied solutions meet the number of necessities for more efficient urban mapping, city understanding, and municipal mana-gement. The geoinformation concept of the urban geographic system research. External and internal urbogeosystems. The authors explain why an UGS can be formalized as three major components: an aggregate of point features, a set of lines, an aggregate of areal features. The external UGS represents a set of cities, the internal one – a set of delineated areas within one urban territory. Algorithmic sequence of the urbogeosystem study with a GIS. The authors introduce algorithmic sequence of research provision with GIS, in which the LiDAR data processing block has been examined in the details with the procedure of the automated feature extraction explanation. Relevant software user interface sample of the visualization of the urban modeled feature attributes is provided. A case study of the external urbogeosystem. The regional case study of the external urbogeosystem modeling is introduced with GIS MapInfo Professional. The authors present the spatial econometric analysis for commuting study directed to a regional workforce market. The results of the external UGS research mainly correspond to some published social economic regularities in the area, but nonetheless it also demonstrates significant deviations that may be explained by this system’s emergent properties. Case studies of the internal urbogeosystem of Kharkiv-City. Two case studies of the internal urbogeosystem of Kharkiv City have been demonstrated, too. In the first one, automated feature extraction provided by the authors’ original software from LiDAR data has been applied for modeling this UGS content throughout a densely built-up urban parcel. In another case the GIS-analysis of the urbogeosystem functional impact on the catering services spatial distribution has been provided with the ArcGIS software. Results and conclusion. Summarizing all primary and derivative data processed with this technique as well as generalizing key ideas discussed in the text, the authors underline this whole methodological approach as such that can be considered as a general outlining showing how to use geoinformation software for the analysis of urban areas. Concluding their research, the authors emphasize that the urbogeosystem concept may be quite useful for visualization and different analysis applied for urban areas, including city planning, facility and other municipal management methods. The short list of the obtained results has been provided at the end of the text.

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Urban environment 3D studies by automated feature extraction from LiDAR point clouds

2020

Visnyk of V.N. Karazin Kharkiv National University, Series Geology. Geography. Ecology

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Research problem introduction. Both a number of necessities that require the novel technological introductions in urban studies and the challengers corresponding to these introductions have been outlined with the emphasis on the urban remote sensing tools. The research goal of this text is to outline the authors’ original contribution to the algorithmic content of the automated feature extraction upon the urban environment modeling, as well as to represent the original web-software for urban studies. AFE methods in the building detection, extraction and 3D reconstruction within the LiDAR pipeline: a thematic overview. The overall AFE algorithmic approach has been summarized proceeding from an extensional literature review due to the feature extraction from raw lidar data. A sample of the composite model of an urban feature extracted, the overall AFE algorithmic flowchart, and few MSL processed results have been visualized. Feature detection, classification, segmentation and reconstruction have been presented as constituents of the united LiDAR pipeline. EOS LiDAR Tool (ELiT) and our key original algorithmic approaches to the AFE issues. The web-software has been developed on the base of the outlined multifunctional research approach. This software has several basic functionalities within the distributed information system: building extraction, building extraction in rural areas, change detection, and digital elevation model generation. Two basic algorithmic approaches implemented in the software have been explained in details: High Polyhedral Modeling provided by the Building Extraction tool, and Low Polyhedral Modeling provided by the Building Extraction Rural Area tool. The extensive usage of the Voronoi diagram for cluster adjacency on the finalizing modeling stage has been provided as our original update of the existing LPM methodology: its applying for the roof cluster adjacency determination and for separation of coplanar clusters, applying limited diagram for avoiding side effects of adjacency determination, its applying for the awning / overhand identification. ELiT Geoportal. The EGP has been depicted as a type of web portal used to find, access, and process LiDAR geospatial both primary, and derivative information, as well as to provide the associated geographic services (display, editing, analysis, etc.) via the Internet. The key characteristics of our Geoportal have been listed as well as some illustrations provided for the uploaded projects. Conclusion and future works. The automated feature extraction from lidar data technique has been presented with the authors’ updates as a highly promising solution for the multicomponent simulation of urban environment, that can be used for different applications for cities. The use-cases for the EGP have been outlined as hot issues: Population estimation with building geometries; Energy demand for heating and cooling; Visibility analysis in urban environment.

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Studying of urban features by the multifunctional approach to LiDAR data processing

Cited by 6 publications

References 14 publications

Automated Extraction of Heavyweight and Lightweight Models of Urban Features from LiDAR Point Clouds by Specialized Web-Software

Automated Extraction of Heavyweight and Lightweight Models of Urban Features from LiDAR Point Clouds by Specialized Web-Software

Geoinformation approach to the urban geographic system research (case studies of Kharkiv region)

Urban environment 3D studies by automated feature extraction from LiDAR point clouds

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