Extraction of Topographic Features using DSM and Ortho Image for Disaster Prevention
Joon Kyu Park, Keun-Wang Lee · International Journal of Signal Processing Image Processing and Pattern Recognition · 2017
In recent years, natural and man-made disasters have been increasing due to changes in the environment and ecosystem due to extreme weather events and global warming in South Korean.It is time for scientific analysis and systematic disaster management to protect people and property from recurrent disasters.In this study, UAV(Unmanned Aerial Vehicle) was used for construction of geospatial information about study area.And UAV data such as ortho image and DSM(Digital Surface Model) were classified using eCognition into water, beach and buildings in order to application for disaster prevention information.As a result, UAV data were classified by object-based classification methods effectively.The disaster information by UAV data and classification method is expected to be available for basic data of the disaster prevention field.