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Proceedings Paper

The application of UAV remote sensing in mapping of damaged buildings after earthquakes
Author(s): Tianjie Lei; Yazhen Zhang; Jingxuan Lu ; Zhiguo Pang; Jun’e Fu; Guangyuan Kan; Wei Qu; Yang Wang
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Paper Abstract

UAV (unmanned aerial vehicle) remote sensing system has advantages of strong real-time, flexible and convenient, little influence by the external environment, and the ability to work full-time. It can go deep into the places safely and reliably which staff can hardly arrived. The remote sensing system can be in response to emergencies to gain first-hand information as quickly as possible and have produced a unique emergency response to acquire an important basis for overall decision-making. However, UAV remote sensing system was so fast, flexible, low flying to carry on quick response to acquire high-resolution images. In the Wenchuan Earthquake, UAV remote sensing was applied successfully to acquire first-hand earthquake damage information in the short time under cloudy and rainy conditions of Sichuan Province. The system flow of UAV remote sensing to extract information on damaged houses after earthquake was set up successfully. Moreover, UAV remote sensing had an important role in mapping of damaged buildings after earthquake. Rapid identification of mapping of damaged buildings after earthquake with UAV remote sensing techniques can be carried out. UAV remote sensing techniques could have greater potentials for disaster mitigation and management after earthquake.

Paper Details

Date Published: 9 August 2018
PDF: 6 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080651 (9 August 2018); doi: 10.1117/12.2503163
Show Author Affiliations
Tianjie Lei, China Institute of Water Resources and Hydropower Research (China)
Yazhen Zhang, China Institute of Water Resources and Hydropower Research (China)
Jingxuan Lu , China Institute of Water Resources and Hydropower Research (China)
Zhiguo Pang, China Institute of Water Resources and Hydropower Research (China)
Jun’e Fu, China Institute of Water Resources and Hydropower Research (China)
Guangyuan Kan, China Institute of Water Resources and Hydropower Research (China)
Wei Qu, China Institute of Water Resources and Hydropower Research (China)
Yang Wang, China Institute of Water Resources and Hydropower Research (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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