Университет по архитектура, строителство и геодезия

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Каталог "Статии" | Списание

Assessment of Seismic Building Vulnerability from Space

Christian Geis; Tobia Lakes; Joachim Post; Hannes Taubenbock; Anita Tisch; Sergey Tyagunov
ЦБ III 1693

Детайли

Източник
Earthquake spectra
Издателство
Earthquake Enginering Reserch
Година на издаване
2014
Пор.№
4
Страници
с. 1553-1583.
Том
30
Отрасъл
Общ отдел. Наука. Библ. дело. Енциклопедии
Забележка
Рез. на англ.ез.
Анотация
This paper quantitatively evaluates the suitability of multi-sensor remote sensing to assess the seismic vulnerability of buildings for the example city of Padang, Indonesia. Features are derived from remote sensing data to characterize the urban environment and are subsequently combined with in situ observations. Machine learning approaches are deployed in a sequential way to identify meaningful sets of features that are suitable to predict seismic vulnerability levels of buildings. When assessing the vulnerability level according to a scoring method, the overall mean absolute percentage error is 10.6%, if using a supervised support vector regression approach.
Системен №
4360

Действия