Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network-Reference-Cited by-同舟云学术

Automated regional seismic damage assessment of buildings using an unmanned aerial vehicle and a convolutional neural network

Author:

Xiong Chen,Li Qiangsheng,Lu Xinzheng

Funder

Intellectual Innovation Program of Shenzhen Science and Technology Innovation Committee

National Key Research and Development Program

National Natural Science Foundation of China

Natural Science Foundation of SZU

Publisher

Elsevier BV

Subject

Building and Construction,Civil and Structural Engineering,Control and Systems Engineering

Reference44 articles.

1. Seismic performance of reinforced concrete buildings in the 22 February Christchurch (Lyttleton) earthquake;Kam;Bull. N. Z. Soc. Earthq. Eng.,2011

2. Reconnaissance report of the 2008 Sichuan earthquake, damage survey of buildings and retrofit options;Miyamoto,2008

3. The Northridge, California earthquake of January 17, 1994: General reconnaissance report;Goltz,1994

4. Use of remote sensing imagery in analysis of consequences of the Armenian earthquake;Puzachenko;Mapp. Sci. Remote. Sens.,1990

5. Collapsed houses automatic identification based on texture changes of post-earthquake aerial remote sensing image;Duan,2010

Cited by 105 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献