Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues

dc.contributor.authorMeng, Xuelian
dc.contributor.authorCurrit, Nathan
dc.contributor.authorZhao, Kaiguang
dc.date.accessioned2021-06-29T19:24:17Z
dc.date.available2021-06-29T19:24:17Z
dc.date.issued2010-03
dc.description.abstractThis paper reviews LiDAR ground filtering algorithms used in the process of creating Digital Elevation Models. We discuss critical issues for the development and application of LiDAR ground filtering algorithms, including filtering procedures for different feature types, and criteria for study site selection, accuracy assessment, and algorithm classification. This review highlights three feature types for which current ground filtering algorithms are suboptimal, and which can be improved upon in future studies: surfaces with rough terrain or discontinuous slope, dense forest areas that laser beams cannot penetrate, and regions with low vegetation that is often ignored by ground filters.
dc.description.departmentGeography and Environmental Studies
dc.formatText
dc.format.extent28 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationMeng, X., Currit, N., & Zhao, K. (2010). Ground filtering algorithms for airborne LiDAR data: A review of critical issues. Remote Sensing, 2(3), pp. 833-860.
dc.identifier.doihttps://doi.org/10.3390/rs2030833
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/10877/13792
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute
dc.rights.holder© 2010 The Authors.
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
dc.sourceRemote Sensing, 2010, Vol. 2, No. 3, pp. 833-860.
dc.subjectLiDAR
dc.subjectground filtering
dc.subjectterrain
dc.subjectDEM
dc.subjectforest
dc.subjecturban
dc.subjectreview
dc.subjectGeography and Environmental Studies
dc.titleGround Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
remotesensing-02-00833.pdf
Size:
768.2 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.54 KB
Format:
Item-specific license agreed upon to submission
Description: