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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/99754


    Title: Application of a feature-based approach to debris flow detection by numerical simulation
    Authors: 蔣偉寧;Lin, Chih-Wei;Chen, Cheng-Wu;Hsu, Wen-Ko;Chen, Chia-Yen;Tsai, Chung-Hung;Hung, Yi-Ping;Chiang, Wei-Ling
    Contributors: 工學院土木工程學系
    Keywords: Casualties;Civil Engineering;Computers;Debris flow;Detritus;Disasters;Early warning systems;Earth and Environmental Science;Earth Sciences;Earth, ocean, space;Emergency communications systems;Emergency preparedness;Engineering and environment geology. Geothermics;Environmental Management;Exact sciences and technology;Geophysics/Geodesy;Geotechnical Engineering & Applied Earth Sciences;Hydrogeology;Landslides & mudslides;Mountains;Natural disasters;Natural Hazards;Natural hazards: prediction, damages, etc;Original Article;Property;Radar;Satellites;Simulation;Surveillance;Taiwan
    Date: 2013-03-04
    Issue Date: 2026-04-21 13:34:22 (UTC+8)
    Publisher: Springer Netherlands;Dordrecht: Springer Netherlands
    Abstract: 摘要: A debris flow is a serious natural disaster which can occur anywhere whether in a valley or on a mountain slope, destroying everything it passes through. Debris flows can occur suddenly and cause residents in the path to suffer casualties and property loss. An early warning system is necessary to reduce the damage in order to protect human life and personal property. However, most debris flow detection systems, like wireless sensors, satellite images and radar, are not suitable for general public use. Vision surveillance systems are generally erected in Taiwan as public devices for security. Therefore, we propose a novel debris early warning system that uses a computer vision technique and build a simulation environment to prove the feasibility.
    其他題名: Nat Hazards
    出版者: Dordrecht: Springer Netherlands
    出版日期: 2013-06-01
    出處: Natural hazards (Dordrecht), 2013-06, Vol.67 (2), p.783-796
    資源來源: Agricultural & Environmental Science Collection
    版權: Springer Science+Business Media Dordrecht 2013
    版權: 2014 INIST-CNRS
    識別號: ISSN: 0921-030X
    識別號: EISSN: 1573-0840
    識別號: DOI: 10.1007/s11069-013-0605-2
    識別號: CODEN: NAHZEL
    Appears in Collections:[Department of Civil Engineering] journal & Dissertation

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