Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91507
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorYan, WY-
dc.date.accessioned2021-11-03T06:54:15Z-
dc.date.available2021-11-03T06:54:15Z-
dc.identifier.issn1939-1404-
dc.identifier.urihttp://hdl.handle.net/10397/91507-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Yan, W. Y. (2021). Scan Line Void Filling of Airborne LiDAR Point Clouds for Hydroflattening DEM. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 6426-6437 is available at https://doi.org/10.1109/JSTARS.2021.3089288en_US
dc.subjectAirborne LiDARen_US
dc.subjectHydroflattened digital elevation model (DEM)en_US
dc.subjectHydroflatteningen_US
dc.subjectLaser dropoutsen_US
dc.subjectScan line intensity-elevation ratio (SLIER)en_US
dc.subjectVoid fillingen_US
dc.titleScan line void filling of airborne LiDAR point clouds for hydroflattening DEMen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage6426-
dc.identifier.epage6437-
dc.identifier.volume14-
dc.identifier.doi10.1109/JSTARS.2021.3089288-
dcterms.abstractGeneration of LiDAR-derived digital elevation model (DEM), particularly for hydrologic and shore environments, poses a continuous challenge. The presence of laser dropouts found on the water bodies causes data voids/holes in the airborne LiDAR data point clouds. Unnatural huge triangular artifacts may appear in these regions when a DEM is generated, resulting in not only unpleasant visual effect but also inaccurate terrain analyses. The United States Geological Survey has stressed the need of having a hydro-flattened DEM in the LiDAR Base Specification. Different forms of water bodies should be represented by a flat surface. Existing approaches mainly rely on the use of ancillary data or manual intervention during the hydroflattening process. In this study, an automatic data processing workflow is proposed to: 1) classify land and water data points collected by a topographic airborne LiDAR system based on the scan line intensity-elevation ratio; 2) perform scan line void filling of data points in close-to-nadir region and at both swath edges; 3) generate a virtual water surface based on the classified water data points; 4) perform hydroflattening on the DEM. The proposed workflow was examined using five datasets collected by topographic airborne LiDAR on the inland ponds and lakes, inland rivers, nontidal boundary water bodies, tidal water bodies, and islands, as addressed in the LiDAR Base Specification. The results showed that the proposed workflow can successfully generate hydroflattened DEMs and overcome the drawback of existing approaches.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE journal of selected topics in applied earth observations and remote sensing, 2021, v. 14, 9456036, p. 6426-6437-
dcterms.isPartOfIEEE journal of selected topics in applied earth observations and remote sensing-
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85110772528-
dc.identifier.eissn2151-1535-
dc.identifier.artn9456036-
dc.description.validate202110 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Yan_Scan_Line_Void.pdf10.93 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

70
Last Week
0
Last month
Citations as of Mar 24, 2024

Downloads

7
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

8
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

7
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.