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Tehnički vjesnik, Vol. 26 No. 1, 2019.

Izvorni znanstveni članak
https://doi.org/10.17559/TV-20170509135040

A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection

Cahit Tagi Celik   ORCID icon orcid.org/0000-0003-4813-940X ; Niğde Ömer Halisdemir Üniversitesi, Mühendislik Fakültesi, Harita Mühendisliği Bölümü, Niğde, 51245, Turkey

Puni tekst: engleski, pdf (1 MB) str. 43-48 preuzimanja: 33* citiraj
APA 6th Edition
Celik, C.T. (2019). A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection. Tehnički vjesnik, 26 (1), 43-48. https://doi.org/10.17559/TV-20170509135040
MLA 8th Edition
Celik, Cahit Tagi. "A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection." Tehnički vjesnik, vol. 26, br. 1, 2019, str. 43-48. https://doi.org/10.17559/TV-20170509135040. Citirano 24.03.2019.
Chicago 17th Edition
Celik, Cahit Tagi. "A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection." Tehnički vjesnik 26, br. 1 (2019): 43-48. https://doi.org/10.17559/TV-20170509135040
Harvard
Celik, C.T. (2019). 'A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection', Tehnički vjesnik, 26(1), str. 43-48. doi: https://doi.org/10.17559/TV-20170509135040
Vancouver
Celik CT. A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection. Tehnički vjesnik [Internet]. 2019 [pristupljeno 24.03.2019.];26(1):43-48. doi: https://doi.org/10.17559/TV-20170509135040
IEEE
C.T. Celik, "A New Segmentation Method for Rotational Landslide Detection Using Outlier Detection", Tehnički vjesnik, vol.26, br. 1, str. 43-48, 2019. [Online]. doi: https://doi.org/10.17559/TV-20170509135040

Sažetak
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.

Ključne riječi
Landslide Detection; LiDAR; Rotational Landslide; Segmentation

Hrčak ID: 217085

URI
https://hrcak.srce.hr/217085

Posjeta: 67 *