Earthquake is a calamity that can cause colossal damage to buildings, infrastructure and environment consequently leading to heavy casualties. It is therefore imperative for disaster relief agencies and civil protection bodies to assess the damage for planning purposes. Satellite Remote Sensing and Geographic Information Systems can help prepare initial damage assessment maps. This paper examines the preparation of damage assessment maps using decision tree based expert systems. The inductive machine learning based decision tree classification has correctly identified 61% of the severely damaged buildings and hence is a viable option for preparing damage assessment maps.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Expert Systems for Earthquake Damage Assessment


    Beteiligte:
    Cheema, Umair (Autor:in)


    Erscheinungsdatum :

    2006-09-01


    Format / Umfang :

    855057 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Expert Systems for Earthquake Damage Assessment

    Cheema, U. | Online Contents | 2007



    Distributed Expert Sensor Systems for Ship Damage Control

    Abbott, J. W. / Slemon, C. S. | British Library Conference Proceedings | 1993


    EARTHQUAKE DAMAGE MANAGEMENT SYSTEM

    MOCHIZUKI AKIFUMI / MUROKI KOJI | Europäisches Patentamt | 2024

    Freier Zugriff