SEGMENTATION BY FOURIER TRANSFORMATION FOR LANDSLIDE DETECTION FROM LIDAR DATA

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dc.contributor.authorCelik, Cahit Tagi
dc.contributor.authorGrejner-Brzezinska, Dorota
dc.contributor.authorToth, Charles
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2013
dc.departmentNiğde ÖHÜ
dc.description13th International Multidisciplinary Scientific Geoconference, SGEM 2013 -- JUN 16-22, 2013 -- Albena, BULGARIA
dc.description.abstractDetermination of deformations is important to understanding the characteristics of the body or mass under investigation, including deformations of natural structures, such as crustal movements, landslides, as well as man-made objects, such as dams, large bridges, viaducts, buildings, etc. Determination of landslides can be performed by different techniques including Light Detection And Ranging (LiDAR). LiDAR is a relatively new technique for determination of landslides and, consequently, a number of issues related to that problem remain unsolved or is partially solved. One of them is the segmentation problem. This paper aims at proposing a segmentation solution for landslide determination from two sets of LiDAR data for the same area, acquired at different times. In this process, Fourier Transformation is used to determine the maximum changes in the surfaces. The data used in this work include one set of real LiDAR measurements for the first (reference) epoch, and simulated data for the second epoch, where landslide effects are superimposed in a small range within the area covered by the data from the reference epoch. The results are presented and it is shown that the technique can be efficiently used in the segmentation stage.
dc.description.sponsorshipOhio State University (OSU); Council of Higher Education (Turkey); Nigde University
dc.description.sponsorshipThe primary author would like to thank The Ohio State University (OSU), the Council of Higher Education (Turkey), and Nigde University for their support in visiting scholarship at OSU, the Ohio Department of Transportation for providing LiDAR data.
dc.identifier.endpage+
dc.identifier.isbn978-619-7105-01-8
dc.identifier.issn1314-2704
dc.identifier.startpage397
dc.identifier.urihttps://hdl.handle.net/11480/4496
dc.identifier.wosWOS:000349067300051
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherSTEF92 TECHNOLOGY LTD
dc.relation.ispartofGEOCONFERENCE ON INFORMATICS, GEOINFORMATICS AND REMOTE SENSING - CONFERENCE PROCEEDINGS, VOL II
dc.relation.ispartofseriesInternational Multidisciplinary Scientific GeoConference-SGEM
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectLiDAR
dc.subjectLandslide
dc.subjectSegmentation
dc.subjectFourier Transform
dc.titleSEGMENTATION BY FOURIER TRANSFORMATION FOR LANDSLIDE DETECTION FROM LIDAR DATA
dc.typeConference Object

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