Classification of Building Damage Triggered by Earthquakes Using Decision Tree
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-07-31
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Field survey is a labour-intensive way to objectively evaluate the grade of building damage triggered by earthquakes.
In this paper, we present a decision-tree-based approach to classify the type of building damage by using multiple-source remote sensing from both pre- and postearthquakes.
Specifically, the boundary of buildings is delineated from preearthquake multiple-source satellite images using an unsupervised learning method.
Then, building damage is classified into four types using decision tree method from postearthquake UAV images, that is, basically intact buildings, slightly damaged buildings, partially collapsed buildings, and completely collapsed buildings.
Furthermore, the slightly damaged buildings are determined by the detected roof-holes using joint color and height features.
Two experimental areas from Wenchuan and Ya’an earthquakes are used to verify the proposed method.
American Psychological Association (APA)
Li, Shaodan& Tang, Hong. 2020. Classification of Building Damage Triggered by Earthquakes Using Decision Tree. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1194123
Modern Language Association (MLA)
Li, Shaodan& Tang, Hong. Classification of Building Damage Triggered by Earthquakes Using Decision Tree. Mathematical Problems in Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1194123
American Medical Association (AMA)
Li, Shaodan& Tang, Hong. Classification of Building Damage Triggered by Earthquakes Using Decision Tree. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1194123
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194123