Paper
9 August 2018 The application of UAV remote sensing in mapping of damaged buildings after earthquakes
Tianjie Lei, Yazhen Zhang, Jingxuan Lu , Zhiguo Pang, Jun’e Fu, Guangyuan Kan, Wei Qu, Yang Wang
Author Affiliations +
Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080651 (2018) https://doi.org/10.1117/12.2503163
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tianjie Lei, Yazhen Zhang, Jingxuan Lu , Zhiguo Pang, Jun’e Fu, Guangyuan Kan, Wei Qu, and Yang Wang "The application of UAV remote sensing in mapping of damaged buildings after earthquakes ", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080651 (9 August 2018); https://doi.org/10.1117/12.2503163
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Cited by 4 scholarly publications.
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KEYWORDS
Remote sensing

Unmanned aerial vehicles

Earthquakes

Buildings

Associative arrays

Image processing

Sensing systems

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