摘要： When natural disasters occur, including earthquakes, tsunamis, and debris flows, they are often accompanied by various types of damages such as the collapse of buildings, broken bridges and roads, and the destruction of natural scenery. In this study, we propose a novel computer vision technique for debris flow detection which is feature-based that can be used to construct a debris flow event warning system. The natural environment is simulated and an event warning system is constructed to warn of debris flows. Debris flows are successfully detected using these two procedures, by analyzing the variation in the detected features and the matched feature. The feasibility of the event warning system is proven using the simulation method. Therefore, the feature based method is found to be useful for detecting debris flows and the event warning system is triggered when debris flows occur. 出版者： 국제구조공학회 出版日期： 2015-06-01 出處： Smart Structures and Systems, 2015, An International Journal, 15(6), , pp.1583-1600 識別號： ISSN: 1738-1584 識別號： EISSN: 1738-1991 識別號： EISSN: 1738-1584 識別號： DOI: 10.12989/sss.2015.15.6.1583
