Akademik Veri Yönetim Sistemi
7th International Conference on Cartography and GIS, Burgas, Bulgaristan, 18 - 23 Haziran 2018, ss.781-789
Airborne Light Detection and Ranging (LiDAR) technology has provided an efficient way to obtain topographic
information by measuring the reflected pulses with a sensor and laser scanner for 3D modeling of disaster area. The
main purpose of this study is to extract outlier points from raw data to produce terrain map modeling. A
heterogeneous and mountainous terrain including the provinces of Artvin, Borçka and Ardanuç in Eastern Anatolia
Region of Turkey has been selected as the study area. In this area, 4 different sites were identified in different terrains.
Raw data analysis Framework (RDAF) and Adaptive Triangulation Irregular Network (ATIN) method was implemented
in this process for the first time to increase the data cleaning performance. As a result of the process, the performance
of the method was examined by calculating the errors. The ratios of outlier points to be removed from the data are as
follows according to the comparison with respect to reference data with this application: 60% for site-1, 25% for site-2,
33% for site-3, and 38% for site-4 have been cleaned from the data set. ATIN filtering method was applied to the
remaining points with the aim of removing the remaining outlier points. The outliers point were cleaned by %99 and the
performance of the process was greatly facilitated with these two methods.