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http://dx.doi.org/10.17820/eri.2021.8.4.266

A Study on the Characteristics of Linear Smoothing Algorithm for Image-Based Object Detection of Water Friendly Facilities in River  

Im, Yun Seong (Corp. HydroSEM)
Kim, Seo Jun (Corp. HydroSEM)
Kim, Chang Sung (Korea Institute of Hydrological Survey)
Kim, Seong Jun (Korea Institute of Hydrological Survey)
Publication Information
Ecology and Resilient Infrastructure / v.8, no.4, 2021 , pp. 266-272 More about this Journal
Abstract
Water friendly space refers to a place designated to plan and manage spaces for residents Water friendly activities. Efficient management of river Water friendly parks requires automated GIS data and DB construction of the water friendly facilities. Object-based classification using drone images or aerial images is attracting attention as an efficient means to acquire 3D spatial information in the country. To remove the miscellaneous image included in the extracted outline, a linear simplification of the outline is required, and it is difficult to apply manually, so various automation methods have been developed to overcome this, and among them, the most widely studied and utilized is the linear simplification method. In this study, the suitability of linear simplification algorithms such as Douglas-Peucker, Visvalingam-Whyatt, and Bend-simplify algorithms for the geometric shape of hydrophilic facilities was determined.
Keywords
Object detection; Water friendly space; GIS; Line smoothing;
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