A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection
A new segmentation method for detection of rotational landslides from two epochs of Light Detection and Ranging System data (LiDAR) was developed. The developed method is based on outlier detection using Z scores of standard normal distribution. In this method, outlying height differences were obtai...
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2019-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/316820 |
| _version_ | 1797207465650028544 |
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| author | Cahit Tagi Celik |
| author_facet | Cahit Tagi Celik |
| author_sort | Cahit Tagi Celik |
| collection | DOAJ |
| description | A new segmentation method for detection of rotational landslides from two epochs of Light Detection and Ranging System data (LiDAR) was developed. The developed method is based on outlier detection using Z scores of standard normal distribution. In this method, outlying height differences were obtained from two epochs of LiDAR data. The height differences were determined for each ith point uniquely by gridding the area along the steepest slope direction. Then, each profile containing the outlying height differences was tested for conformity to a possible rotational landslide and grouped into horizontal sets. Finally, the procedure was applied to horizontally grouped sets in the direction perpendicular to the steepest slope to determine each rotational landslide. To test the developed method, the area containing five different sizes of rotational landslides was scanned by the developed method. The results showed that the developed method segmented the area successfully identifying each rotational landslide. |
| first_indexed | 2024-04-24T09:23:21Z |
| format | Article |
| id | doaj.art-40302bbde65b4cc790535e58c863a8a4 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:23:21Z |
| publishDate | 2019-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-40302bbde65b4cc790535e58c863a8a42024-04-15T15:20:14ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392019-01-01261434810.17559/TV-20170509135040A New Segmentation Method for Rotational Landslide Detection Using Outlier DetectionCahit Tagi Celik0Niğde Ömer Halisdemir Üniversitesi, Mühendislik Fakültesi, Harita Mühendisliği Bölümü, Niğde, 51245, TurkeyA new segmentation method for detection of rotational landslides from two epochs of Light Detection and Ranging System data (LiDAR) was developed. The developed method is based on outlier detection using Z scores of standard normal distribution. In this method, outlying height differences were obtained from two epochs of LiDAR data. The height differences were determined for each ith point uniquely by gridding the area along the steepest slope direction. Then, each profile containing the outlying height differences was tested for conformity to a possible rotational landslide and grouped into horizontal sets. Finally, the procedure was applied to horizontally grouped sets in the direction perpendicular to the steepest slope to determine each rotational landslide. To test the developed method, the area containing five different sizes of rotational landslides was scanned by the developed method. The results showed that the developed method segmented the area successfully identifying each rotational landslide.https://hrcak.srce.hr/file/316820Landslide DetectionLiDARRotational LandslideSegmentation |
| spellingShingle | Cahit Tagi Celik A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection Tehnički Vjesnik Landslide Detection LiDAR Rotational Landslide Segmentation |
| title | A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection |
| title_full | A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection |
| title_fullStr | A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection |
| title_full_unstemmed | A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection |
| title_short | A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection |
| title_sort | new segmentation method for rotational landslide detection using outlier detection |
| topic | Landslide Detection LiDAR Rotational Landslide Segmentation |
| url | https://hrcak.srce.hr/file/316820 |
| work_keys_str_mv | AT cahittagicelik anewsegmentationmethodforrotationallandslidedetectionusingoutlierdetection AT cahittagicelik newsegmentationmethodforrotationallandslidedetectionusingoutlierdetection |